Index for very

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3D Determination of very Dense Particle Velocity Fields by Tomographic Reconstruction from Four Camera Views and Voxel Space Tracking
3d Modeling Of Small Objects Using Macro Lens In Digital very Close Range Photogrammetry
3D Reconstruction of Vessel Lumen from very Few Angiograms by Dynamic Contours Using a Stochastic Approach
Absolute Localization of Targets Using a Phase-Measuring Sidescan Sonar in very Shallow Waters
Accelerating the Classification of very Deep Convolutional Network by A Cascading Approach
Accelerating the SVM Learning for very Large Data Sets
Accelerating very Deep Convolutional Networks for Classification and Detection
Accuracy and Radiometric Study on very High Resolution Digital Camera Images
Accurate Image Super-Resolution Using very Deep Convolutional Networks
Acquisition, modelling and rendering of very large urban environments
Adaptive Coding of Moving-Objects for very-Low Bit Rates
Adaptive enhancement and noise reduction in very low light-level video
Adaptive Rate Control Scheme for very-Low Bit-Rate Video Coding
Adaptive Registration of very Large Images
Advanced Directional Mathematical Morphology for the Detection of the Road Network in very High Resolution Remote Sensing Images
Advances in very-High-Resolution Remote Sensing
Advances in very-Low Bit-Rate Video Coding in North America
Ailanthus altissima mapping from multi-temporal very high resolution satellite images
Airborne SAR-Efficient Signal Processing for very High Resolution
Algorithm for the Delineation of Craters in very High Resolution Images of Mars Surface, An
ALOS/PALSAR InSAR Time-Series Analysis for Detecting very Slow-Moving Landslides in Southern Kyrgyzstan
Analysing the Relationship between Spatial Resolution, Sharpness and Signal-to-Noise Ratio of very High Resolution Satellite Imagery Using an Automatic Edge Method
Analysis of Co-training Algorithm with very Small Training Sets
Analysis of X-Band very High Resolution Persistent Scatterer Interferometry Data over Urban Areas
Animal Identification in Low Quality Camera-Trap Images Using very Deep Convolutional Neural Networks and Confidence Thresholds
Approach to Fine Coregistration Between very High Resolution Multispectral Images Based on Registration Noise Distribution, An
Assessing Geometric Reliability of Corrected Images from very High Resolution Satellites
Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak
Assessing Water Stress of Desert Tamarugo Trees Using in situ Data and very High Spatial Resolution Remote Sensing
Assessment of Geometric Activity Features for Per-pixel Classification of Urban Man-made Objects using very High Resolution Satellite Imagery, An
Assessment of very High Spatial Resolution Satellite Image Segmentations
Attention Based Convolutional Neural Network for Building Extraction From very High Resolution Remote Sensing Image
Attention-Driven Cropping for very High Resolution Facial Landmark Detection
attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery, An
Attenuation of Seismic Multiples in very Shallow Water: An Application in Archaeological Prospection Using Data Driven Approaches
Auto-Encoder-Based Shared Mid-Level Visual Dictionary Learning for Scene Classification Using very High Resolution Remote Sensing Images
Automated Building Detection from Airborne LiDAR and very High-Resolution Aerial Imagery with Deep Neural Network
Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery
Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto
Automated Melanoma Recognition in Dermoscopy Images via very Deep Residual Networks
automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery, An
Automatic 3-D Building Model Reconstruction from very High Resolution Stereo Satellite Imagery
Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge
Automatic Counting of Large Mammals from very High Resolution Panchromatic Satellite Imagery
Automatic Detection and Segmentation of Orchards Using very High Resolution Imagery
Automatic Extraction of Built-Up Areas from very High-Resolution Satellite Imagery Using Patch-Level Spatial Features and Gestalt Laws of Perceptual Grouping
Automatic Geometric Processing for very High Resolution Optical Satellite Data Based on Vector Roads and Orthophotos
Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes Using very High Resolution Imagery
Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for very High Resolution Aerial Imagery Classification
Automatic Shadow Detection in Urban very-High-Resolution Images Using Existing 3D Models for Free Training
Automatic Windthrow Detection Using very-High-Resolution Satellite Imagery and Deep Learning
Background Subtraction for PTZ Cameras Performing a Guard Tour and Application to Cameras with very Low Frame Rate
Bagging very weak learners with lazy local learning
Bayesian Cloud Detection for 37 Years of Advanced very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data
Bayesian Interface Detection in very Shallow Chirp Seismic Data
Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data
Beyond RGB: very high resolution urban remote sensing with multimodal deep networks
Bidimensional dictionary and coding screme for a very low bitrate matching pursuit video coder
Binary tree-based precision-keeping clustering for very fast Japanese character recognition
Bittracker: A Bitmap Tracker for Visual Tracking under very General Conditions
Block error-correcting codes for systems with a very high BER: Theoretical analysis and application to the protection of watermarks
Boundary-Aware Refined Network for Automatic Building Extraction in very High-Resolution Urban Aerial Images
Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using very High Resolution Satellite
BRIEF: Computing a Local Binary Descriptor very Fast
Brightness Temperatures From very Lossy Medium With Near-Field Bistatic Transmission Coefficients
Building Change Detection in Multitemporal very High Resolution SAR Images
Building Extraction from very High Resolution Aerial Imagery Using Joint Attention Deep Neural Network
Building Extraction from very-High-Resolution Remote Sensing Images Using Semi-Supervised Semantic Edge Detection
Building Extraction in very High Resolution Imagery by Dense-Attention Networks
Building Extraction in very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
Building Height Estimation in Urban Areas from very High Resolution Satellite Stereo Images
Building Outline Delineation: From very High Resolution Remote Sensing Imagery to Polygons with An Improved End-to-end Learning Framework
Building Reconstruction Using Planar Faces in very High Density Height Data
Cascaded Attention DenseUNet (CADUNet) for Road Extraction from very-High-Resolution Images
CascadePSP: Toward Class-Agnostic and very High-Resolution Segmentation via Global and Local Refinement
Centripetal SGD for Pruning very Deep Convolutional Networks With Complicated Structure
Cest Analysis: Automated Change Detection From very-high-resolution Remote Sensing Images
Change detection in very high resolution imagery based on dynamic time warping: An implementation for Haiti earthquake damage assessment
Change detection on LOD 2 building models with very high resolution spaceborne stereo imagery
Channel Pruning for Accelerating very Deep Neural Networks
Characteristics of very High Resolution Optical Satellites for Topographic Mapping
Characterizing Small-Town Development Using very High Resolution Imagery within Remote Rural Settings of Mozambique
Chroma coding for video at very low bit rates
Classification Error for a very Large Number of Classes
Classification of very High Spatial Resolution Imagery Based on the Fusion of Edge and Multispectral Information
Classification of very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines
Classification of very high-resolution remote sensing images by applying a new edge-based marker-controlled watershed segmentation method
Classification of very-High-Spatial-Resolution Aerial Images Based on Multiscale Features with Limited Semantic Information
Cloud-Based Mapping Approach Using Deep Learning and very-High Spatial Resolution Earth Observation Data to Facilitate the SDG 11.7.1 Indicator Computation, A
Clustering very Large Databases Using EM Mixture Models
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images
CMU very Fast Range-Imaging System
Cnn-based Feature-level Fusion of very High Resolution Aerial Imagery And Lidar Data
CNN-Based Land Cover Classification Combining Stratified Segmentation and Fusion of Point Cloud and very High-Spatial Resolution Remote Sensing Image Data
Coarse to fine patches-based multitemporal analysis of very high resolution satellite images
Coarse-to-Fine Autofocus Approach for very High-Resolution Airborne Stripmap SAR Imagery, A
Code obfuscation using very long identifiers for FFT motion estimation models in embedded processors
Coding of details in very low bit-rate video systems
Coherent Plane Wave Compounding for very High Frame Rate Ultrasonography of Rapidly Moving Targets
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with very Limited Annotations
Combination of Conventional and Advanced DInSAR to Monitor very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)
Comparative Assessment of very High Resolution Satellite and Aerial Orthoimagery
Comparative Research on Deep Learning Approaches for Airplane Detection from very High-Resolution Satellite Images
Comparing color and textural information in very high resolution satellite image classification
Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using very High Resolution Imagery
Comparing Statistical and Neural Network Methods Applied to very High Resolution Satellite Images Showing Changes in Man-Made Structures at Rocky Flats
Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery
Comparison of Gas Emission Crater Geomorphodynamics on Yamal and Gydan Peninsulas (Russia), Based on Repeat very-High-Resolution Stereopairs
Comparison of Manual Mapping and Automated Object-Based Image Analysis of Non-Submerged Aquatic Vegetation from very-High-Resolution UAS Images
Comparison of Nine Fusion Techniques for very High Resolution Data
Comparison of pixel unmixing models in the evaluation of post-fire forest resilience based on temporal series of satellite imagery at moderate and very high spatial resolution
Competition and Burn Severity Determine Post-Fire Sapling Recovery in a Nationally Protected Boreal Forest of China: An Analysis from Very High-Resolution Satellite Imagery
Computing very Low Bitrate, 3-D and Object Based Coding
Confidence-Aware Cascade Network for Multi-Scale Stereo Matching of very-High-Resolution Remote Sensing Images, A
Conical Model Approach for Invariant Points of very Long Baseline Interferometry and Satellite Laser Ranging, A
Constrained bit-rate control for very low bit-rate streaming-video applications
Content Based very Low Bit Rate Video Coding Using Wavelet Transform
Content-Based Rate Control Scheme for very-Low Bit-Rate Video Coding
Context-Enabled Extraction of Large-Scale Urban Functional Zones from very-High-Resolution Images: A Multiscale Segmentation Approach
Contextually guided very-high-resolution imagery classification with semantic segments
Contour Simplification and Motion Compensation for very Low Bit-Rate Video Coding
Contourless region-based video coding for very low bit-rates
Correction of Background in very Low Statistics Images
Cross-Age Face Recognition on a very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits
Cross-domain road detection based on global-local adversarial learning framework from very high resolution satellite imagery
Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with very High Spatial Resolution Imagery
Current Challenges In Operational very High Resolution Land-cover Mapping
CVPR Workshop Registration of very Large Images
Database Approach to very Large LIDAR Data Management, A
Decoder side true motion estimation for very low bitrate B-frame coding
Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in very High Spatial Resolution Aerial Imagery
Deep Learning Based Roof Type Classification Using very High Resolution Aerial Imagery
Deep Learning-Based Detection of Urban Forest Cover Change along with Overall Urban Changes Using very-High-Resolution Satellite Images
Deep Learning-Based Framework for Automated Extraction of Building Footprint Polygons from very High-Resolution Aerial Imagery, A
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery
Deep Learning-Based Robust Change Detection Approach for very High Resolution Remotely Sensed Images with Multiple Features, A
Deep Volumetric Video from very Sparse Multi-View Performance Capture
Deep-learning-based single-image height reconstruction from very-high-resolution SAR intensity data
Delineation of Built-Up Areas from very High-Resolution Satellite Imagery Using Multi-Scale Textures and Spatial Dependence
Dense Semantic Labeling of very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs
DeriveNet for (very) Low Resolution Image Classification
Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters
Detailed Lacustrine Calving Iceberg Inventory from very High Resolution Optical Imagery and Object-Based Image Analysis
Detecting Curves in very Noisy Images Using Fourier-Argand Moments
Detecting Large-Scale Urban Land Cover Changes from very High Resolution Remote Sensing Images Using CNN-Based Classification
Detection and Tracking of very Small Low Contrast Objects
Detection of Fragmented Rectangular Enclosures in very High Resolution Remote Sensing Images
Detection of Human Faces in Color Image Sequences with Arbitrary Motions for very Low Bit Rate Videophone Coding
Detection of very Small Tree Plantations and Tree-Level Characterization Using Open-Access Remote-Sensing Databases
Developing the Remote Sensing-Gash Analytical Model for Estimating Vegetation Rainfall Interception at very High Resolution: A Case Study in the Heihe River Basin
Development and Performance Evaluation of a very Low-Cost UAV-Lidar System for Forestry Applications
Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter from Remote Sensing over Clear to very Turbid Waters
DGFNet: Dual Gate Fusion Network for Land Cover Classification in very High-Resolution Images
Dictionaries of deep features for land-use scene classification of very high spatial resolution images
Dictionary-free categorization of very similar objects via stacked evidence trees
Directional Mathematical Morphology for the Detection of the Road Network in very High Resolution Remote Sensing Images
Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning
Distributed very Large Scale Bundle Adjustment by Global Camera Consensus
Distribution strategies for very large 3D image deconvolution algorithms
Dual Attention Feature Fusion and Adaptive Context for Accurate Segmentation of very High-Resolution Remote Sensing Images
Dual Directed Capsule Network for very Low Resolution Image Recognition
Dual-Bound Algorithm for very Fast and Exact Template Matching, A
Earthquake Aftermath from very High-Resolution WorldView-2 Image and Semi-Automated Object-Based Image Analysis (Case Study: Kermanshah, Sarpol-e Zahab, Iran)
Earthquake-Damaged Buildings Detection in very High-Resolution Remote Sensing Images Based on Object Context and Boundary Enhanced Loss
Edge Dependent Chinese Restaurant Process for very High Resolution (VHR) Satellite Image Over-Segmentation
Edge-Based Motion Estimation and Region Based Contour Tracing for very Low Bit Rate Video Coding
Effects of the Construction of Granadilla Industrial Port in Seagrass and Seaweed Habitats Using very-High-Resolution Multispectral Satellite Imagery
Efficient algorithm for very low bit rate embedded image coding
Efficient Change Detection for very Large Motion Blurred Images
Efficient Classification of very Large Images with Tiny Objects
Efficient representation and decoding of static Huffman code tables in a very low bit rate environment
Efficient Training Approach for very Large Scale Face Recognition, An
Efficient Training of very Deep Neural Networks for Supervised Hashing
Enabling monocular depth perception at the very edge
Encouraging LSTMs to Anticipate Actions very Early
Energy-Based Segmentation of very Sparse Range Surfaces
Enhanced gesture-based human-computer interaction through a Compressive Sensing reduction scheme of very large and efficient depth feature descriptors
Enhanced Image Reconstruction From Quarter Sampling Measurements Using An Adapted very Deep Super Resolution Network
Enhancement and noise reduction of very low light level images
Enhancing Selected Facial Features in very Low Bit-rate Video Sequences
Estimation of Boreal Forest Attributes from very High Resolution Pleiades Data
European COST 211 ter Activities: Research Towards Advanced Algorithms for Coding of Video Signals at very Low Bit Rates, The
Evaluating Tree Detection and Segmentation Routines on very High Resolution UAV LiDAR Data
Evaluation of Camera Positions and Ground Points Quality in a Gnss-nrtk Based UAV Survey: Preliminary Results From a Practical Test In Morphological very Complex Areas
Evaluation of Different Change Detection Techniques in Forestry for Improvement of Spatial Objects Extraction Algorithms by very High Resolution Remote Sensing Digital Imagery
Evaluation of Methods for Aerodynamic Roughness Length Retrieval from very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China
Evaluation of Pixel- and Object-Based Tree Species Classification in Mixed Deciduous Forests Using Pansharpened very High Spatial Resolution Satellite Imagery, An
Event-Based High Dynamic Range Image and very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks
Ex Paucis Plura: Learning Affordance Segmentation from very Few Examples
Experimental Measurement of Forward Scattering from very Rough Sand Ripples in a Water Tank
Exploitation of very High Resolution Satellite Data for Tree Species Identification
Exploiting sparse representations in very high-dimensional feature spaces obtained from patch-based processing
Exploring the Relationship between Burn Severity Field Data and very High Resolution GeoEye Images: The Case of the 2011 Evros Wildfire in Greece
Exploring the Use of Orthophotos in Google Earth Engine for very High-Resolution Mapping of Impervious Surfaces: A Data Fusion Approach in Wuppertal, Germany
Extended Random Walker for Shadow Detection in very High Resolution Remote Sensing Images
Extracting planar roof structures from very high resolution images using graph neural networks
Fast camera fingerprint matching in very large databases
Fast FPGA prototyping for real-time image processing with very high-level synthesis
Fast Frame Type Selection Technique for very Low Bit Rate Coding using MPEG-1, A
Fast Mean-shift Based Classification Of very High Resolution Images: Application To Forest Cover Mapping
Fast script word recognition with very large vocabulary
Fast Segmentation and Classification of very High Resolution Remote Sensing Data Using SLIC Superpixels
Fast SVM Training Algorithm with Decomposition on very Large Data Sets
Faster training of very deep networks via p-norm gates
Finding Groups of Duplicate Images In very Large Dataset
Fine-to-Coarse Object Classification of very Large Images
Fitting Conic Sections to very Scattered Data: An Iterarive Refinement of the Bookstein Algorithm
Forest Stand Segmentation Using Airborne Lidar Data And very High Resolution Multispectral Imagery
Frame-Rate Up-Conversion Using Transmitted Motion and Segmentation Fields for very Low Bit-Rate Video Coding
Full-Aperture Focusing of very High Resolution Spaceborne-Squinted Sliding Spotlight SAR Data
Function4D: Real-time Human Volumetric Capture from very Sparse Consumer RGBD Sensors
Fury of the Swarm: Efficient and very Accurate Triangulation for Multi-view Scene Reconstruction
Fusion of Multiscale Convolutional Neural Networks for Building Extraction in very High-Resolution Images
Fusion-Based Semantic Segmentation Using Deep Learning Architecture in Case of very Small Training Dataset
Future Ocean Scatterometry: On the Use of Cross-Polar Scattering to Observe very High Winds
GCHL: A grid-clustering algorithm for high-dimensional very large spatial data bases
Generalized Image Scene Decomposition-Based System for Supervised Classification of very High Resolution Remote Sensing Imagery, A
Generic Face Appearance Model of Shape and Texture Under very Large Pose Variations from Profile to Profile Views, A
Genetic Algorithm-Based Solver for very Large Jigsaw Puzzles, A
GenLR-Net: Deep Framework for very Low Resolution Face and Object Recognition with Generalization to Unseen Categories
Geometrical features for the classification of very high resolution multispectral remote-sensing images
Georeferencing Strategies in very Shallow Waters: A Novel GCPs Survey Approach for UCH Photogrammetric Documentation
Gradual DropIn of Layers to Train very Deep Neural Networks
Greenhouses Detection Using an Artificial Neural Network with a very High Resolution Satellite Image
Grid-Clustering: An Efficient Hierarchical Clustering Method for very Large Data Sets
GriT-DBSCAN: A spatial clustering algorithm for very large databases
Grouped zerotree wavelet image coding for very low bitrate
Guest Editorial: very-Low Bit-Rate Video Coding: II
Hallucinating very Low-Resolution Unaligned and Noisy Face Images by Transformative Discriminative Autoencoders
Head Pose Computation for very Low Bit-Rate Video Coding
HEp-2 Specimen Cell Detection and Classification Using very Deep Convolutional Neural Networks-Based Cell Shape
HEp-2 Specimen Image Segmentation and Classification Using very Deep Fully Convolutional Network
Heterogeneity-Enhancement and Homogeneity-Restraint Network (HEHRNet) for Change Detection from very High-Resolution Remote Sensing Imagery, A
HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset
Hierarchical and Robust Convolutional Neural Network for very High-Resolution Remote Sensing Object Detection
Hierarchical Approach to Change Detection in very High Resolution SAR Images for Surveillance Applications, A
Hierarchical Disentangling Network for Building Extraction from very High Resolution Optical Remote Sensing Imagery
Hierarchical Multi-View Semi-Supervised Learning for very High-Resolution Remote Sensing Image Classification
High-Throughput Plot-Level Quantitative Phenotyping Using Convolutional Neural Networks on very High-Resolution Satellite Images
Highly Scalable Wavelet-Based Video Codec For very-Low Bit-Rate Environment
Highway Network Block with Gates Constraints for Training very Deep Networks
Histogram-Based Attribute Profiles for Classification of very High Resolution Remote Sensing Images
Hop-Diffusion Monte Carlo for Epipolar Geometry Estimation between very Wide-Baseline Images
How Normalized Difference Vegetation Index (NDVI) Trendsfrom Advanced very High Resolution Radiometer (AVHRR) and Systeme Probatoire d'Observation de_la_Terre VEGETATION (SPOT VG
hybrid codec for very low bit rate video coding, A
Hybrid Data Structure for the Storage and Manipulation of very Large Spatial Data Sets, A
hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification, A
Hybrid Model-Based Image-Coding System for very-Low Bit-Rate Coding, A
Hybrid Object Oriented very Low Bit Rate Video Codec, A
Hybrid object-based/block-based coding in video compression at very low bit-rate
Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in very High-Resolution Satellite Images, A
Identification of AR parameters at a very low SNR using estimated spectral distribution in DCT domain
Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images
Identification of very Similar Filled-in Forms with a Reject Option
Image Fusion-Based Change Detection for Flood Extent Extraction Using Bi-Temporal very High-Resolution Satellite Images
Image Registration of very Large Images via Genetic Programming
Image Restoration via Deep-Structured Stochastically Fully-Connected Conditional Random Fields (DSFCRFs) for very Low-Light Conditions
Image Segmentation Parameter Selection and Ant Colony Optimization for Date Palm Tree Detection and Mapping from very-High-Spatial-Resolution Aerial Imagery
Image sequence coding at very low bit rates: a review
Image Super-Resolution Using very Deep Residual Channel Attention Networks
Image-based tree modeling from a few images with very narrow viewing range
Impact of the Acquisition Geometry of very High-Resolution Pleiades Imagery on the Accuracy of Canopy Height Models over Forested Alpine Regions
Impervious surface extraction with very high resolution imagery in urban areas: Reducing tree obscuring effect
Implicit coding for very low bit rate image compression
Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical very High Spatial Resolution Images, The
Improved Piecewise Linear Transformation for Precise Warping of very-High-Resolution Remote Sensing Images
Improving Mountain Snow and Land Cover Mapping Using very-High-Resolution (VHR) Optical Satellite Images and Random Forest Machine Learning Models
Increasing the Existence of very Shallow-Water LIDAR Measurements Using the Red-Channel Waveforms
Incremental Division of very Large Point Clouds for Scalable 3D Surface Reconstruction
Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images
Individual Tree Of Urban Forest Extraction From very High Density Lidar Data
Individual Tree-Crown Detection and Species Classification in very High-Resolution Remote Sensing Imagery Using a Deep Learning Ensemble Model
Individual Urban Tree Species Classification Using very High Spatial Resolution Airborne Multi-Spectral Imagery Using Longitudinal Profiles
Information Content of very High Resolution SAR Images: Study of Feature Extraction and Imaging Parameters
Information extraction from very high resolution satellite SAR data time series using graph based connected features
Insights into very Early Afterslip Associated with the 2021 M 8.2 Chignik, Alaska Earthquake Using Subdaily GNSS Solutions
Instance Segmentation in very High Resolution Remote Sensing Imagery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis
Integrated GIS and Remote Sensing Approach for Monitoring Harvested Areas from very High-Resolution, Low-Cost Satellite Images, An
Integrated Preprocessing of Multitemporal very-High-Resolution Satellite Images via Conjugate Points-Based Pseudo-Invariant Feature Extraction
Integrated Strategies For The Modeling very Large And Complex Architectures
Integrating Aerial LiDAR and very-High-Resolution Images for Urban Functional Zone Mapping
Intelligent pattern detection and compression. An application to very low bit rate transmission of ship wake aerial images
Introducing a very large dataset of handwritten Farsi digits and a study on their varieties
Introducing Mapping Standards in the Quality Assessment of Buildings Extracted from very High Resolution Satellite Imagery
Inverting Aboveground Biomass-Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using very High Resolution Cartosat Imagery
ITU standardisation of very low bitrate video coding algorithms
Joint Processing of UAV Imagery and Terrestrial Mobile Mapping System Data for very High Resolution City Modeling
Jointly Optimal Region Classified Adaptive Vector Quantization for very Low Bit Rate Video Coding
Kalman Filtering Based Rate-Constrained Motion Estimation for very Low Bit Rate Video Coding
Kernel Method Based On Topic Model For very High Spatial Resolution (VHSR) Remote Sensing Image Classification, A
Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models
Land Cover, Land Use, very High Resolution, High Spatial Resolution
Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in very-High-Resolution Remote Sensing Images
Large Field/Close-Up Image Classification: From Simple to very Complex Features
layered coding system for very low bit rate video coding, A
LBGS: a smart approach for very large data sets vector quantization
Leaf Segmentation, Its 3D Position Estimation and Leaf Classification from a Few Images with very Close Viewpoints
Learning to Create Cartoon Images from a very Small Dataset
Learning to detect video events from zero or very few video examples
level set method for very high resolution airborne sar image segmentation, A
Leveraging very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology
Low Memory Footprint Quantized Neural Network for Depth Completion of very Sparse Time-of-Flight Depth Maps, A
Low-complexity near-lossless image coder for efficient bus traffic in very large size multimedia SoC
Macro unit-based convolutional neural network for very light-weight deep learning
Male-Female Identification from 8x6 very-Low Resolution Face Images by Neural-Network
Mapping Land Cover Types from very High Spatial Resolution Imagery: Automatic Application of an Object Based Classification Scheme
Mapping of Dwellings in IDP/Refugee Settlements from very High-Resolution Satellite Imagery Using a Mask Region-Based Convolutional Neural Network
Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach
Mapping the Mangrove Forest Canopy Using Spectral Unmixing of very High Spatial Resolution Satellite Images
Mapping Urban Functional Zones by Integrating very High Spatial Resolution Remote Sensing Imagery and Points of Interest: A Case Study of Xiamen, China
Mapping urban green space in Montreal for better environmental justice: objectoriented classification of very-high-resolution images
Mapping Urban Green Spaces at the Metropolitan Level Using very High Resolution Satellite Imagery and Deep Learning Techniques for Semantic Segmentation
Mapping Urban Tree Species Using very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches
Mapping very-High-Resolution Evapotranspiration from Unmanned Aerial Vehicle (UAV) Imagery
MDPE: A very Robust Estimator for Model Fitting and Range Image Segmentation
ME-Net: A Multi-Scale Erosion Network for Crisp Building Edge Detection from very High Resolution Remote Sensing Imagery
measure for change detection in very high resolution remote sensing images based on texture analysis, A
Measuring the Effectiveness of Various Features for Thematic Information Extraction From very High Resolution Remote Sensing Imagery
Medium- (MR) and very-High-Resolution (VHR) Image Integration through Collect Earth for Monitoring Forests and Land-Use Changes: Global Forest Survey (GF
Mesh Based Video Coding at very Low Bitrate
Method Based on Edge Constraint and Fast Marching for Road Centerline Extraction from very High-Resolution Remote Sensing Images
method for the segmentation of very high spatial resolution images of forested landscapes, A
Method of Increasing the Accuracy of Radar Distance Measurement in VTS Systems for Vessels with very Large Dimensions, A
Mimicking very Efficient Network for Object Detection
Model-Based Image-Coding: Advanced Video Coding Techniques for very-Low Bit-Rate Applications
Modeling and Simulation of very High Spatial Resolution UXOs and Landmines in a Hyperspectral Scene for UAV Survey
Modeling Stand Height, Volume, and Biomass from very High Spatial Resolution Satellite Imagery and Samples of Airborne LiDAR
Modeling very oscillating signals. Application to image processing
Modelling the Wealth Index of Demographic and Health Surveys within Cities Using very High-Resolution Remotely Sensed Information
Monitoring Land Cover Dynamics At Varying Spatial Scales Using High To very High Resolution Optical Imagery
Monitoring of Snow Cover Ablation Using very High Spatial Resolution Remote Sensing Datasets
Monitoring Seasonal Hydrological Dynamics of Minerotrophic Peatlands Using Multi-Date GeoEye-1 very High Resolution Imagery and Object-Based Classification
Monitoring the Transformation of Arctic Landscapes: Automated Shoreline Change Detection of Lakes Using very High Resolution Imagery
Morphological Attribute Profiles for the Analysis of very High Resolution Images
Morphological Operators for very Low Bit Rate Video Coding
Morphological Shape Representation for very Low Bit-Rate Video Coding
motion compensated subband coder for very low bit-rates, A
Motion compensation for very low bit-rate video
Motion Compensation of Wavelet Coefficients for very Low Bit Rate Video Coding
Motion Dependent Spatiotemporal Smoothing for Noise Reduction in very Dim Light Image Sequences
Motion Vector Size-Compensation Based Method for very Low Bit-Rate Video Coding
Motion-adaptive modelling of scene content for very low bit rate model-assisted coding of video sequences
Motion-compensated wavelet transform coder for very low bit-rate visual telephony
MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from very High-Resolution Images
Multi-Annual Kinematics of an Active Rock Glacier Quantified from very High-Resolution DEMs: An Application-Case in the French Alps
Multi-baseline SAR 3D reconstruction of vehicle from very sparse aspects: A generative adversarial network based approach
Multi-Level Difference Network for Change Detection from very High-Resolution Remote Sensing Images: A Case Study in Open-Pit Mines
Multi-Scale Analysis of very High Resolution Satellite Images Using Unsupervised Techniques
Multi-Scale Discrete Cosine Transform Network for Building Change Detection in very-High-Resolution Remote Sensing Images
Multi-Scale Filtering Building Index for Building Extraction in very High-Resolution Satellite Imagery, A
Multi-Scale Hybrid Saliency Analysis for Region of Interest Detection in very High Resolution Remote Sensing Images
Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal very-High-Resolution Remote Sensing Images
Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of very-High-Resolution Remotely Sensed Imagery, A
Multi-Stage Approach Combining very High-Resolution Satellite Image, GIS Database and Post-Classification Modification Rules for Habitat Mapping in Hong Kong, A
multilevel approach to change detection for port surveillance with very high resolution SAR images, A
Multilevel Context-Based System for Classification of very High Spatial Resolution Images, A
Multiple Data Source for Survey and Modeling of very Complex Architecture.
Multiscale Diagnosis of Mangrove Status in Data-Poor Context Using very High Spatial Resolution Satellite Images: A Case Study in Pichavaram Mangrove Forest, Tamil Nadu, India
Multivariate Spatial Data Fusion for very Large Remote Sensing Datasets
Narrowband-to-Broadband Conversions for Top-of-Atmosphere Reflectance from the Advanced very High Resolution Radiometer (AVHRR)
new approach for very dark video denoising and enhancement, A
New Mesh-Based Motion Compensation Algorithm for very Low Bit Rate Coding, A
New Method for Automated Quantification of Vertical Spatio-Temporal Changes within Gully Cross-Sections Based on very-High-Resolution Models
New Method for Region-Based Majority Voting CNNs for very High Resolution Image Classification, A
new segmentation method for very high resolution imagery using spectral and morphological information, A
New Technique for Motion Field Segmentation and Coding for very Low Bitrate Video Coding Applications, A
New Trends in very-Low Bitrate Video Coding
New Video Compression Algorithm for very Low Bandwidth Using Curve Fitting Method, A
Novel Adaptive Histogram Trend Similarity Approach for Land Cover Change Detection by Using Bitemporal very-High-Resolution Remote Sensing Images
Novel Approach to very Fast and Noise Robust, Isolated Word Speech Recognition, A
Novel Framework for the Design of Change-Detection Systems for very-High-Resolution Remote Sensing Images, A
Novel Jamming Method against SAR Using Nonlinear Frequency Modulation Waveform with very High Sidelobes, A
Novel Land Cover Change Detection Deep Learning Framework with very Small Initial Samples Using Heterogeneous Remote Sensing Images
Novel Motion Compensation Scheme for Airborne very High Resolution SAR, A
Novel Object-Based Deep Learning Framework for Semantic Segmentation of very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks, A
Novel Object-Based Filter for Improving Land-Cover Classification of Aerial Imagery with very High Spatial Resolution
Novel Protocol for Accuracy Assessment in Classification of very High Resolution Images, A
NV-Tree: An Efficient Disk-Based Index for Approximate Search in very Large High-Dimensional Collections
Object based forest stand density estimation from very high resolution optical imagery using wavelet based texture measures
Object Mining Using a Matching Graph on very Large Image Collections
object oriented approach for the discrimination of forest areas under the criteria of forest legislation in Greece using very high resolution data, An
Object Oriented Classification for Mapping Mixed and Pure Forest Stands Using very-High Resolution Imagery
Object-based analysis-synthesis coding of image sequences at very low bit rates
Object-Based Approach for Mapping Tundra Ice-Wedge Polygon Troughs from very High Spatial Resolution Optical Satellite Imagery, An
Object-Based Change Detection of very High Resolution Images by Fusing Pixel-Based Change Detection Results Using Weighted Dempster-Shafer Theory
Object-Based Greenhouse Mapping Using very High Resolution Satellite Data and Landsat 8 Time Series
Object-Based Image Analysis Approach for Detecting Penguin Guano in very High Spatial Resolution Satellite Images, An
Object-based layer-structure for very low bit rate video coding
Object-Based Mapping of Aboveground Biomass in Tropical Forests Using LiDAR and very-High-Spatial-Resolution Satellite Data
Object-Based very Low Bit-Rate Coding Using Motion Parameter Estimation Based on Multiple Frame Prediction
Object-Oriented Analysis of very High Resolution Orthophotos for Estimating the Population of Slum Areas, A Case of Dar-Es-Salaam, Tanzania
Object-Oriented Approach to the Classification of Roofing Materials Using very High-Resolution Satellite Stereo-Pairs, An
Object-Oriented Building Extraction by DSM and very High-Resolution Orthoimages
Object-oriented scene modeling for interpersonal video communication at very low bit-rate
Observations of Ionospheric Disturbances Produced by a Powerful very-Low-Frequency Radio Signal in the Magnetic Conjugated Region Respect the Transmitter
On analyzing video with very small motions
On Content-Based very Low Bitrate Video Coding
On feature selection protocols for very low-sample-size data
On the Co-Selection of Vision Transformer Features and Images for very High-Resolution Image Scene Classification
On the Processing of very High Resolution Spaceborne SAR Data
On the Processing of very High Resolution Spaceborne SAR Data: A Chirp-Modulated Back Projection Approach
On the Use of Dual-Doppler Radar Measurements for very Short-Term Wind Power Forecasts
On the very High-Resolution Radar Image Statistics of the Exponentially Correlated Rough Surface: Experimental and Numerical Studies
Open-Source Data-Driven Cross-Domain Road Detection from very High Resolution Remote Sensing Imagery
Operational Framework for Rapid, very-high Resolution Mapping of Glacial Geomorphology Using Low-cost Unmanned Aerial Vehicles and Structure-from-Motion Approach
Operational Performance of an Automatic Preliminary Spectral Rule-Based Decision-Tree Classifier of Spaceborne very High Resolution Optical Images
Optical Flow Based Motion Compensation Algorithm for very Low Bit Rate Video Coding
Optimal Block-Overlapping Synthesis Transforms for Coding Images and Video at very-Low Bitrates
Optimal MMSE Pan Sharpening of very High Resolution Multispectral Images
Optimized Block-regression-based Fusion Algorithm For Pansharpening Of very High Resolution Satellite Imagery, The
Optimizing Object-based Classification In Urban Environments Using very High Resolution Geoeye-1 Imagery
Optimum Feature and Classifier Selection for Accurate Urban Land Use/Cover Mapping from very High Resolution Satellite Imagery
Outlier removal and feature point pairs optimization for piecewise linear transformation in the co-registration of very high-resolution optical remote sensing imagery
Pansharpening for Cloud-Contaminated very High-Resolution Remote Sensing Images
Parallel Algorithm for a very Fast 2D Velocity Field Estimation, A
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss
Peer-to-Peer Visualization of very Large 3D Landscape and City Models Using MPEG-4
PGNet: Positioning Guidance Network for Semantic Segmentation of very-High-Resolution Remote Sensing Images
Phase Unwrapping for very Large Interferometric Data Sets
Photovoltaic panel extraction from very high-resolution aerial imagery using region-line primitive association analysis and template matching
PolyNet: A Pursuit of Structural Diversity in very Deep Networks
Post-Processing Approach for Refining Raw Land Cover Change Detection of very High-Resolution Remote Sensing Images
Postprocessing for very Low Bit-Rate Video Compression
Posture-based Infant Action Recognition in the Wild with very Limited Data
Potential of Deep Features for Small Object Class Identification in very High Resolution Remote Sensing Imagery, The
potential use of very high spatial resolution data and object-based classification for mapping urban sprawl, The
PPHPS: a parabolic prediction-based, fast half-pixel search algorithm for very low bit-rate moving-picture coding
Pre-training Vision Transformers with very Limited Synthesized Images
Precise Calibration of Channel Imbalance for very High Resolution SAR With Stepped Frequency
Precise Subpixel Disparity Measurement From very Narrow Baseline Stereo
Precision Viticulture From Multitemporal, Multispectral very High Resolution Satellite Data
Predicting very Early Stage Mild Cognitive Impairment Based on a Voxel-wise Arterial Spin Labeling Analysis
Prior Model for Bone Microarchitecture Reconstrution with a very Limited Number of Projections, A
Probability Sampling Protocol for Thematic and Spatial Quality Assessment of Classification Maps Generated From Spaceborne/Airborne very High Resolution Images
Processing of very High Resolution Spaceborne Sliding Spotlight SAR Data Using Velocity Scaling
Proposed Framework To Unmix Scattering Mechanisms of Polarimetric Radar Images Using very High Resolution Optical Images, A
Pseudo Object-Oriented very Low Bit Rate Video Coding System with Cache VQ for Detail Compensation, A
Pulse Coupled Neural Networks for Automatic Urban Change Detection at very High Spatial Resolution
Quantization Mimic: Towards very Tiny CNN for Object Detection
Radar Imaging of Urban Areas by Means of very High-Resolution SAR and Interferometric SAR
Rate-Distortion Optimized Mode Selection for very-Low Bit-Rate Video Coding and the Emerging H.263 Standard
real time generic variable pattern selection algorithm for very low bit-rate video coding, A
Real-time Lightweight CNN in Robots with very Limited Computational Resources: Detecting Ball in NAO
Real-Time Pattern Selection Algorithm for very Low Bit-Rate Video Coding Using Relevance and Similarity Metrics, A
Real-Time very Low Bit Rate Video Coding with Adaptive Mean-Removed Vector Quantization
Recent and Current Research on very-Low Bit-Rate Video Coding in Japan
Recognizability Embedding Enhancement for very Low-Resolution Face Recognition and Quality Estimation
Recognizing very Small Face Images Using Convolution Neural Networks
Recovering very Large Visual Motion Fields
Recursive Reversible Data Hiding in Encrypted Images Method With a very High Payload, A
Refinement of Urban Digital Elevation Models from very High Resolution Stereo Satellite Images
Refining Land Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for very High Resolution Remote Sensing Images
Region-based classification potential for land-cover classification with very high spatial resolution satellite data
Region-Based Wavelet Compression for very Low Bitrate Video Coding
Registration of very time-distant aerial images
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Remote Sensing of Coconut Trees in Tonga Using very High Spatial Resolution WorldView-3 Data
Representation learning for very short texts using weighted word embedding aggregation
Representation Learning with very Limited Images: The Potential of Self-, Synthetic- and Formula-Supervision
Responses of the very Low Frequency Transmitter Signals During the Solar Eclipse on December 26, 2019 Over a North-South Propagation Path
Results from a Sideways Looking Radar (SLAR) with a very Low Pulse Repetition Frequency (PRF)
Retrieval of Daily Mean Top-of-Atmosphere Reflected Solar Flux Using the Advanced very High Resolution Radiometer (AVHRR) Instruments
Retrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data
Retrieving Forest Structure Variables From very High Resolution Satellite Images Using An Automatic Method
Review of Landcover Classification with very-High Resolution Remotely Sensed Optical Images: Analysis Unit, Model Scalability and Transferability, A
Revisiting the Training of very Deep Neural Networks without Skip Connections
Rich CNN Features for Water-Body Segmentation from very High Resolution Aerial and Satellite Imagery
Road Centerline Extraction from very-High-Resolution Aerial Image and LiDAR Data Based on Road Connectivity
Road Extraction from very High Resolution Images Using Weakly labeled OpenStreetMap Centerline
Road Extraction from very-High-Resolution Remote Sensing Images via a Nested SE-Deeplab Model
Road Roundabout Extraction from very High Resolution Aerial Imagery
Robust and accurate iris segmentation in very noisy iris images
Robust Codec for Transmission of very Low Bit-Rate Video over Channels with Bursty Errors, A
robust hit-or-miss transform for template matching applied to very noisy astronomical images, A
Robust Model-Based Detection of Gable Roofs in very-High-Resolution Aerial Images
Robust Source Coding for Images over very Noisy Channels
Robust, Scalable, Object-Based Video Compression Technique for very-Low Bit-Rate Coding, A
Rule-Based Classification of a very High Resolution Image in an Urban Environment Using Multispectral Segmentation Guided by Cartographic Data
SAR Interferometry on a very Long Time Scale: A Study of the Interferometric Characteristics of Man-Made Features
Scalable Coding of very High Resolution Video Using the Virtual Zerotree
Scalable Rate Control for very Low Bit Rate (VLBR) Video
Scanning Tunnels With Two very High-resolution Laser Devices and A Stacker
SealNet 2.0: Human-Level Fully-Automated Pack-Ice Seal Detection in very-High-Resolution Satellite Imagery with CNN Model Ensembles
SeeTek: very Large-Scale Open-set Logo Recognition with Text-Aware Metric Learning
Segmentation of tiny objects in very poor-quality angiogenesis images
Segmentation of very High Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm Optimization Algorithm
Segmentation of very Low Resolution Screen-Rendered Text
Segmentation-Based Fine Registration of very High Resolution Multitemporal Images
Semantic Face Hallucination: Super-Resolving very Low-Resolution Face Images with Supplementary Attributes
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network
Semantic Segmentation and Edge Detection: Approach to Road Detection in very High Resolution Satellite Images
Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
Semantic Segmentation of very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning
Semantic Segmentation-Based Building Footprint Extraction Using very High-Resolution Satellite Images and Multi-Source GIS Data
Semi-automated forest stand delineation using wavelet-based segmentation of very high resolution optical imagery in Flanders, Belgium
Semi-Automated Semantic Segmentation of Arctic Shorelines Using very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
Semi-automatic verification of cropland and grassland using very high resolution mono-temporal satellite images
Sequence Independent very Fast Mode Decision Algorithm on H.264/AVC Baseline Profile
Shadow Detection from very High Resoluton Satellite Image Using Grabcut Segmentation and Ratio-Band Algorithms
Shadow detection in very high spatial resolution aerial images: A comparative study
Siam-EMNet: A Siamese EfficientNet-MANet Network for Building Change Detection in very High Resolution Images
SiamRPN++: Evolution of Siamese Visual Tracking With very Deep Networks
Significance-Linked Connected Component Analysis for very Low Bit-Rate Wavelet Video Coding
Simple Operator for very Precise Estimation of Ellipses, A
Simple very deep convolutional network for robust hand pose regression from a single depth image
Simplified Object-Based Deep Neural Network for very High Resolution Remote Sensing Image Classification
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data
Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data
Spatio-spectral Gaussian random field modeling approach for target detection on hyperspectral data obtained in very low SNR
Spatio-Temporal Model-Assisted Compatible Coding for Low and very Low Bitrate Videotelephony
Spatio-temporal model-assisted very low-bit-rate coding with compatibility
Spatiotemporal Fusion of Satellite Images via very Deep Convolutional Networks
Special Issue on very-Low Bit-Rate Video Coding
Spectral Log-Demons: Diffeomorphic Image Registration with very Large Deformations
spectral-structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery, A
Spline-Based Adaptive Filter for the Removal of Blocking Artifacts in Image Sequences Coded at very Low Bitrate, A
Stabilizing Classifiers for very Small Sample Sizes
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of very High Resolution Satellite Images by Data Standardization
Statistical model-based video segmentation and its application to very low bit-rate video coding
Stochastic Models of very High-Rate (50 Hz) GPS/BeiDou Code and Phase Observations
Strategies to improve the performance of very low bit rate speech coders and application to a variable rate 1.2 kb/s codec
Strict very Fast Decision Tree: A memory conservative algorithm for data stream mining
Studying very Low Resolution Recognition Using Deep Networks
Super-resolution of very low-resolution face images with a wavelet integrated, identity preserving, adversarial network
Super-Resolving very Low-Resolution Face Images with Supplementary Attributes
Supervised Classification of very High Resolution Optical Images Using Wavelet-Based Textural Features
SurfaceNet+: An End-to-end 3D Neural Network for very Sparse Multi-View Stereopsis
Syntax-based arithmetic video coding for very low bit rate visual telephony
System-Level Performance Evaluation of very High Complexity Media Applications: A H264/AVC Encoder Case Study
Target detection for very high-frequency synthetic aperture radar ground surveillance
Terrasar-X data for improving geometric accuracy of optical high and very high resolution satellite data
Testfield Trento: Geometric Evaluation Of very High Resolution Satellite Imagery
TextCaps: Handwritten Character Recognition With very Small Datasets
Textural Classification of very High-resolution Satellite Imagery: Empirical Estimation of the Relationship Between Window Size and Detection Accuracy in Urban Environment
Three-Dimensional Imaging of Buried Objects in very Lossy Earth by Inversion of VETEM Data
Three-Dimensional Model-Based Approach to the Estimation of the Tree Top Height by Fusing Low-Density LiDAR Data and very High Resolution Optical Images, A
Tie Point Matching Strategy For very High Resolution Sar-optical Stereogrammety Over Urban Areas, A
Time Series Analysis of very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking
Tomographic Imaging of Fjord Ice Using a very High Resolution Ground-Based SAR System
TomoSAR 3D Reconstruction for Buildings Using very Few Tracks of Observation: A Conditional Generative Adversarial Network Approach
Topographic Analysis of Intertidal Polychaete Reefs (Sabellaria alveolata) at a very High Spatial Resolution
Topologically-Consistent Magnitude Pruning for very Lightweight Graph Convolutional Networks
Toward Quantifying Oil Contamination in Vegetated Areas Using very High Spatial and Spectral Resolution Imagery
Toward Sentinel-2 High Resolution Remote Sensing of Suspended Particulate Matter in very Turbid Waters: SPOT4 (Take5) Experiment in the Loire and Gironde Estuaries
Towards automatic SAR-optical stereogrammetry over urban areas using very high resolution imagery
Towards Sub-Pixel Automatic Geometric Corrections of very-High Resolution Panchromatic Satellite Data of Urban Areas
Tracking of Individuals in very Long Video Sequences
Tracking Using Motion Patterns for very Crowded Scenes
Traffic Monitoring using very High Resolution Satellite Imagery
Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery
Training very Deep CNNs for General Non-Blind Deconvolution
Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of very Fine Resolution Urban Scene Images
Transition Is a Process: Pair-to-Video Change Detection Networks for very High Resolution Remote Sensing Images
Transport-based single frame super resolution of very low resolution face images
Tree Species Classification in Mixed Deciduous Forests Using very High Spatial Resolution Satellite Imagery and Machine Learning Methods
Tree Species Classification with Random Forest Using very High Spatial Resolution 8-Band WorldView-2 Satellite Data
Two Stages Pan-Sharpening Details Injection Approach Based on very Deep Residual Networks
UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth Variability
Uncertainty Analysis for Object-Based Change Detection in very High-Resolution Satellite Images Using Deep Learning Network
Unraveling Spatial and Temporal Heterogeneities of very Slow Rock-Slope Deformations with Targeted DInSAR Analyses
Unsupervised Change Detection Using Fast Fuzzy Clustering for Landslide Mapping from very High-Resolution Images
Unsupervised-Restricted Deconvolutional Neural Network for very High Resolution Remote-Sensing Image Classification
Updating Land-Cover Maps by Using Texture Information from very High-Resolution Space-Borne Imagery
Upscaling-Downscaling Optimal Seamline Detection Algorithm for very Large Remote Sensing Image Mosaicking, An
Urban Building Collapse Detection Using very High Resolution Imagery and Airborne LIDAR Data
Urban Change Detection Based on Dempster-Shafer Theory for Multitemporal very High-Resolution Imagery
Urban Digital Elevation Model Reconstruction Using very High Resolution Multichannel InSAR Data
Urban features recognition and extraction from very-high resolution multi-spectral satellite imagery: A micro-macro texture determination and integration framework
Urban land use extraction from very High Resolution remote sensing imagery using a Bayesian network
Urban Vegetation Classification with NDVI Threshold Value Method With very High Resolution (vhr) Pleiades Imagery
Use of very High Spatial Resolution Imagery for Mapping Wood Energy Potential From Tropical Managed Forest Stands, Reunion Island
Use of very High-Resolution Airborne Images to Analyse 3D Canopy Architecture of a Vineyard
Use of very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal
Using Deep Learning and very-High-Resolution Imagery to Map Smallholder Field Boundaries
Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses
Using very High Resolution Thermal Infrared Imagery for More Accurate Determination of the Impact of Land Cover Differences on Evapotranspiration in an Irrigated Agricultural Area
Using very-High-Resolution Multispectral Classification to Estimate Savanna Fractional Vegetation Components
V-DESIRR: very Fast Deep Embedded Single Image Reflection Removal
Validation of Suomi-NPP VIIRS sea ice concentration with very high-resolution satellite and airborne camera imagery
Variable remapping of images from very different sources
Variational EM Acceleration for Efficient Clustering at very Large Scales, A
Varsr: Variational Super-resolution Network for very Low Resolution Images
Vegetation coverage detection from very high resolution satellite imagery
Vehicle Detection in very High Resolution Satellite Images of City Areas
Vehicle Detection in very-High-Resolution Remote Sensing Images Based on an Anchor-Free Detection Model with a More Precise Foveal Area
Vehicles Detection from very High Resolution Satellite Imagery
very Close Nadiral Images: A Proposal For Quick Digging Survey
very concise feature representation for time series classification understanding, A
very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery
very Deep Residual Network for Image Matting
very Deep Sequences Learning Approach for Human Action Recognition, A
very efficient strategy for very large data sets clustering: application to image segmentation, A
very efficient strategy for very large data sets clustering: application to image segmentation, A
very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add
very Fast Algorithm for Simultaneously Performing Connected-Component Labeling and Euler Number Computing, A
very Fast Best-Fit Circular and Elliptical Boundaries by Chord Data
very fast census-based stereo matching implementation on a graphics processing unit, A
very Fast Concentric Circle Partition-Based Replica Detection Method
very Fast Convolution with Laplacian-of-Gaussian Masks
very fast ellipse detection using GPU-based RHT
very Fast Image Retrieval Based on JPEG Huffman Tables
very Fast JPEG Compression Using Hierarchical Vector Quantization
very fast phase inversion approach for small baseline style interferogram stacks, A
very fast procedure to calculate the smallest singular value, A
very Fast Solution to the PnP Problem with Algebraic Outlier Rejection
very Fast Substring Search Algorithm, A
very Fast Template Matching
very Fast VLSI Rangefinder, A
very Fast Watermarking by Reversible Contrast Mapping
very High Accuracy Velocity Estimation using Orientation Tensors, Parametric Motion, and Simultaneous Segmentation of the Motion Field
very High Density Point Clouds from UAV Laser Scanning for Automatic Tree Stem Detection and Direct Diameter Measurement
very High Resolution Automotive SAR Imaging from Burst Data
very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China
very high resolution Image Segmentation by combined spectral and structural information
very High Resolution Images and Superpixel-Enhanced Deep Neural Forest Promote Urban Tree Canopy Detection
very high resolution imaging scheme with multiple different-aperture cameras
very High Resolution Land Cover Change Analysis
very High Resolution Land Cover Mapping of Urban Areas At Global Scale With Convolutional Neural Networks
very High Resolution Land Use and Land Cover Mapping Using Pleiades-1 Stereo Imagery and Machine Learning
very High Resolution Multiangle Urban Classification Analysis
very High Resolution Spaceborne SAR Tomography in Urban Environment
very high speed entropy coding
very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types
very High-Resolution Imaging of Post-Mortem Human Cardiac Tissue Using X-Ray Phase Contrast Tomography
very High-Resolution Remote Sensing: Challenges and Opportunities
very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2
very High-Resolution Urban Green Space from the Fusion of Microsatellite, SAR, and MSI Images, A
very High-Speed Facsimile Recorder, A
very large scale nearest neighbor search: Ideas, strategies and challenges
very Large-Scale Global SfM by Distributed Motion Averaging
very large-scale integration architecture for video stabilisation and implementation on a field programmable gate array-based autonomous vehicle
very Lightweight Photo Retouching Network With Conditional Sequential Modulation
very Local Subsidence Near the Hot Spring Region in Hakone Volcano, Japan, Inferred from InSAR Time Series Analysis of ALOS/PALSAR Data
very Long Natural Scenery Image Prediction by Outpainting
very low bit rate codec for wide band speech based on a long-term perceptual harmonic plus noise model, A
very low bit rate face video compression using linear combination of 2D face views and principal components analysis
very Low Bit Rate Image Coding Using Morphological Operators and Adaptive Decompositions
very low bit rate video coding using 3D subband approach
very low bit rate video coding using vector-based techniques
very low bit rate wavelet-based scalable video compression
very low bit-rate audio-visual applications
very low bit-rate image coding on adaptive multigrids
very Low Bit-Rate Minimalist Video Encoder Based on Matching Pursuits, A
very Low Bit-Rate Video Coding Using Multi-Criterion Segmentation
very Low Bit-Rate Video Coding Using Wavelet-Based Techniques
very low bit-rate video coding with DFD segmentation
very Low Bitrate Coding of Humanoid Animation in MPEG-4
very Low Bitrate Semantic Compression of Airplane Cockpit Screen Content
very Low Bitrate Video Coding Using Morphological Segmentation and Contour/Texture Motion Compensation
very Low Bitrate Video: A Statistical Analysis in the DCT Domain
very Low Bitrate, 3-D and Object Based Coding
very low complexity reduced reference video quality metric based on spatio-temporal information selection, A
very Low Rate DCT-Based Video Coding Using Dynamic VQ
very Low Resolution Face Recognition Problem
very Low-Bit Video Coding Based on Gain-Shape VQ and Matching Pursuits
very low-complexity coding of images using adaptive Modulo-PCM
very Power Efficient Neural Time-of-Flight
very simple framework for 3D human poses estimation using a single 2D image: Comparison of geometric moments descriptors, A
very Simple Safe-Bayesian Random Forest, A
very-High-Quality Image Compression Based on Noise Modeling
very-High-Resolution Airborne Synthetic Aperture Radar Imaging: Signal Processing and Applications
very-large-scale integration design of a low-power and cost-effective context-based adaptive variable length coding decoder for H.264/AVC portable applications
very-Low Bit-Rate Coding Algorithm for Stereo Video with Spatiotemporal HVS Model and Binary Correlation Disparity Estimator
very-Low Bit-Rate Coding Based on Wavelet, Edge-Detection, and Motion Interpolation/Extrapolation
very-Low Bit-Rate Color Video Coding Using Adaptive Subband Vector Quantization with Dynamic Bit Allocation
very-Low Bit-Rate Video Coder Based on Vector Quantization, A
very-Low Bit-Rate Video Coding Based on Matching Pursuits
very-Low Bit-Rate Video Coding Using Arbitrarily-Shaped Region-Based Motion Compensation
very-Low Bit-Rate Video Coding Using H.263 Coder
very-Low Bit-Rate Video Coding with Block Partitioning and Adaptive Selection of Two Time-Differential Frame Memories
very-Low Bit-Rate Wavelet Video Coding
very-low-bit Rate Coding Using Matching Pursuit and Codebook Adaptation
very-low-bit-rate video coding using quadtree decomposition and cache-based vector quantization
VF-SIFT: very Fast SIFT Feature Matching
VFSC: A very Fast Sparse Clustering to Cluster Faces from Videos
Video Search via Ranking Network with very Few Query Exemplars
Vineyard Detection and Vine Variety Discrimination from very High Resolution Satellite Data
Visual Communication at very Low Data Rates
VLW-NET: A very Light-weight Convolutional Neural Network (CNN) for Single Image Dehazing
Volume Based Dtm Generation From very High Resolution Photogrammetric Dsms
VPRS-Based Regional Decision Fusion of CNN and MRF Classifications for very Fine Resolution Remotely Sensed Images
Watching Unlabeled Video Helps Learn New Human Actions from very Few Labeled Snapshots
Water Body Extraction from very High Spatial Resolution Remote Sensing Data Based on Fully Convolutional Networks
wavelet codec with overlapped motion compensation for very low bit-rate environment, A
Wavelet-based very low bit-rate video coding using image warping and overlapped block motion compensation
Zerotree Entropy Coding of Wavelet Coefficients for very Low Bit Rate Video
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