Index for cres

Crescentini, L.[Luca] * 2022: Clues of Ongoing Deep Magma Inflation at Campi Flegrei Caldera (Italy) from Empirical Orthogonal Function Analysis of SAR Data
* 2022: Spatial Dispersion and Non-Negative Matrix Factorization of SAR Backscattering as Tools for Monitoring Snow Depth Evolution in Mountain Areas: A Case Study at Central Pyrenees (Spain)
* 2023: DInSAR Data Reveal an Intriguing Contemporaneous Onset of Deep Deflation below Vesuvio and the Ongoing Campi Flegrei Uplift

Crescenzi, P. * 1995: Parallel Simulated Annealing for Shape Detection
* 2014: Blind image clustering based on the Normalized Cuts criterion for camera identification

Cresci, S. * 2016: Impromptu Crisis Mapping to Prioritize Emergency Response
* 2017: Cross-Media Learning for Image Sentiment Analysis in the Wild
Includes: Cresci, S. Cresci, S.[Stefano]

Crescini, D.[Damiano] * 2019: Geographical Area Network: Structural Health Monitoring Utility Computing Model

Crespi, A.[Alice] * 2023: Insuring Alpine Grasslands against Drought-Related Yield Losses Using Sentinel-2 Satellite Data

Crespi, B. * 1996: Real-Time Parallel Computation of Disparity and Optical-Flow Using Phase Difference
* 1997: Performance of Phase-Based Algorithms for Disparity Estimation
* 1998: Analog Computation for Phase-Based Disparity Estimation: Continuous and Discrete Models
* 1998: Memory-Based Approach to Sensory-Motor Coordination, A
* 1999: Adaptive Gabor Filters for Phase-Based Disparity Estimation
* 1999: Differential equations for phase-based stereo-vision
Includes: Crespi, B. Crespi, B.[Bruno]

Crespi, M.[Mattia] * 2008: Accuracy assessment of high resolution satellite imagery orientation by leave-one-out method
* 2011: DSM generation from high resolution SAR sensors with radargrammetric model. Application with COSMO-SkyMed and TerraSAR-X
* 2012: Radargrammetric Digital Surface Models Generation From Terrasar-x Imagery: Case Studies, Problems And Potentialities
* 2013: DSMS Generation from COSMO-SKYMED, RADARSAT-2 AND TERRASAR-X Imagery on Beauport (Canada) Test Site: Evaluation and Comparison of Different Radargrammetric Approaches
* 2014: Centimeter range measurement using amplitude data of TerraSAR-X imagery
* 2015: Evaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site
* 2016: Centimeter Cosmo-Skymed Range Measurements For Monitoring Ground Displacements
* 2016: Exploiting Sentinel-1 Amplitude Data For Glacier Surface Velocity Field Measurements: Feasibility Demonstration On Baltoro Glacier
* 2016: Kinect V2 and RGB Stereo Cameras Integration for Depth Map Enhancement
* 2016: Upgrade of Foss Date Plug-in: Implementation Of A New Radargrammetric DSM Generation Capability
* 2017: 3d Modelling of Archaeological Small Finds By A Low-cost Range Camera: Methodology And First Results
* 2017: FOSS4G Date Assessment On the Isprs Optical Stereo Satellite Data: A Benchmark for DSM Generation
* 2017: Free Global DSM Assessment On Large Scale Areas Exploiting The Potentialities of the Innovative Google Earth Engine Platform
* 2017: Multi-Temporal X-Band Radar Interferometry Using Corner Reflectors: Application and Validation at the Corvara Landslide (Dolomites, Italy)
* 2018: Editorial for Special Issue Advances in SAR: Sensors, Methodologies, and Applications
* 2018: Monitoring the Impact of Land Cover Change on Surface Urban Heat Island through Google Earth Engine: Proposal of a Global Methodology, First Applications and Problems
* 2018: VADASE Reliability and Accuracy of Real-Time Displacement Estimation: Application to the Central Italy 2016 Earthquakes
* 2019: Advantages of Geostationary Satellites for Ionospheric Anomaly Studies: Ionospheric Plasma Depletion Following a Rocket Launch
* 2019: Foss4g Date for DSM Generation: Sensitivity Analysis of The Semi-global Block Matching Parameters
* 2020: Editorial for the Special Issue: High-Precision GNSS: Methods, Open Problems and Geoscience Applications
* 2020: Glacier Volume Change Monitoring From UAV Observations: Issues And Potentials of State-of-the-art Techniques
* 2020: Tack Project: Tunnel and Bridge Automatic Crack Monitoring Using Deep Learning and Photogrammetry
* 2021: DSM Generation from Single and Cross-Sensor Multi-View Satellite Images Using the New Agisoft Metashape: The Case Studies of Trento and Matera (Italy)
* 2023: Inferring 3D change detection from bitemporal optical images
* 2024: SWOT Level 2 Lake Single-Pass Product: The L2_HR_LakeSP Data Preliminary Analysis for Water Level Monitoring
Includes: Crespi, M.[Mattia] Crespi, M.
25 for Crespi, M.

Crespi, N. * 2019: Online EV Charging Scheduling With On-Arrival Commitment
* 2023: Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning
Includes: Crespi, N. Crespi, N.[Noel]

Crespin, B.[Benoit] * 2010: Interactive Hydraulic Erosion Using CUDA
* 2010: Particle-Based Method for Large-Scale Breaking Waves Simulation, A
* 2022: Multimodal Video Indexing (MVI): A New Method Based on Machine Learning and Semi-Automatic Annotation on Large Video Collections
Includes: Crespin, B.[Benoit] Crespin, B.[Benoît]

Crespo Aller, S. * 2019: Artalive: An Android Application for Augmented Reality Without Markers, Based On Anamorphic Images
Includes: Crespo Aller, S. Crespo-Aller, S.

Crespo Matellan, E. * 2013: Automated Urban Analysis Based on LiDAR-Derived Building Models
Includes: Crespo Matellan, E. Crespo-Matellan, E.

Crespo Monteiro, N.[Nicolas] * 2017: Characterization by Hyperspectral Imaging and Hypercolor Gamut Estimation for Structural Color Prints
Includes: Crespo Monteiro, N.[Nicolas] Crespo-Monteiro, N.[Nicolas]

Crespo Peremarch, P. * 2016: Analysis Of The Side-lap Effect On Full-waveform Lidar Data Acquisition For The Estimation Of Forest Structure Variables
* 2018: Analyzing the role of pulse density and voxelization parameters on full-waveform LiDAR-derived metrics
* 2020: Automated Classification of Crop Types and Condition In A Mediterranean Area Using A Fine-tuned Convolutional Neural Network
* 2020: Classification of UAV-based Photogrammetric Point Clouds of Riverine Species Using Machine Learning Algorithms: A Case Study In the Palancia River, Spain
* 2020: Comparing the Generation of DTM in a Forest Ecosystem Using TLS, ALS And UAV-DAP, and Different Software Tools
* 2020: Full-Waveform Airborne Laser Scanning Metric Extraction Tool for Forest Structure Modelling. Do Scan Angle and Radiometric Correction Matter?, A
* 2022: Classification of Mediterranean Shrub Species from UAV Point Clouds
Includes: Crespo Peremarch, P. Crespo-Peremarch, P. Crespo-Peremarch, P.[Pablo]
7 for Crespo Peremarch, P.

Crespo, C. * 2010: Damage Detection On Historical Buildings Using Unsupervised Classification Techniques

Crespo, J. * 1997: Edge-Based Adaptive Smoothing
* 1997: Flat Zone Approach: A General Low-Level Region Merging Segmentation Method, The
* 1997: Locality and Adjacency Stability Constraints for Morphological Connected Operators
* 1998: New Results on the Theory of Morphological Filters by Reconstruction
* 2003: Medical image segmentation using openings and closings with reconstruction criteria
* 2007: shape interpolation technique based on inclusion relationships and median sets, A
* 2008: Strong Property of Morphological Connected Alternated Filters, The
* 2009: Levelings and Geodesic Reconstructions
* 2010: Adjacency stable connected operators and set levelings
* 2013: Automated Aircraft Trajectory Prediction Based on Formal Intent-Related Language Processing
Includes: Crespo, J. Crespo, J.[Jose]
10 for Crespo, J.

Crespo, J.A.[Juan A.] * 2019: CYGNSS Surface Heat Flux Product Development
* 2021: CYGNSS Mission: On-Going Science Team Investigations, The

Crespo, J.B. * 2015: Optimizing Speech Intelligibility in a Noisy Environment: A unified view

Crespo, J.B.F.P.[Joao B.F.P.] * 2010: 2D orientation is unique through principal moments analysis, The
* 2011: Revisiting Complex Moments for 2-D Shape Representation and Image Normalization

Crespo, J.F.P.[Joao F.P.] * 2009: Principal moments for efficient representation of 2D shape
Includes: Crespo, J.F.P.[Joao F.P.] Crespo, J.F.P.[João F.P.]

Crespo, J.L.[Jose Luis] * 2009: Moving objects forecast in image sequences using autoregressive algorithms
Includes: Crespo, J.L.[Jose Luis] Crespo, J.L.[José Luis]

Crespo, M.C.[M. Cruz] * 2018: Determining the optimal features in freezing of gait detection through a single waist accelerometer in home environments

Crespo, O.[Olivier] * 2023: Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems, A

Crespo, P.[Patricio] * 2019: River Discharge Simulation in the High Andes of Southern Ecuador Using High-Resolution Radar Observations and Meteorological Station Data

Crespo, P.R.[Paola Romero] * 2022: Lineament Extraction from Digital Terrain Derivate Model: A Case Study in the Giron-Santa Isabel Basin, South Ecuador

Crespo, R.[Raul] * 2010: Detection and Tracking of Driver's Hands in Real Time
Includes: Crespo, R.[Raul] Crespo, R.[Raúl]

Crespo, R.G.[Ruben Gonzalez] * 2020: Feature based video stabilization based on boosted HAAR Cascade and representative point matching algorithm
* 2021: ADCCF: Adaptive deep concatenation coder framework for visual question answering
* 2021: Editorial on Frontiers in computer vision for human computer interaction
* 2022: Inadequate dataset learning for major depressive disorder MRI semantic classification
* 2023: Detection of anomaly in surveillance videos using quantum convolutional neural networks
Includes: Crespo, R.G.[Ruben Gonzalez] Crespo, R.G.[Rubén González] Crespo, R.G.[Ruben González]

Cress, D.H. * 1985: Detection of Objects in High Resolution Multispectral Aerial Images
* 1990: Object Detection by Step-Wise Analysis of Spectral, Spatial, and Topographic Features
Includes: Cress, D.H. Cress, D.H.[Daniel H]

Cressey, E.L.[Elizabeth L.] * 2020: Periodic Relations between Terrestrial Vegetation and Climate Factors across the Globe
* 2021: How Can We Realize Sustainable Development Goals in Rocky Desertified Regions by Enhancing Crop Yield with Reduction of Environmental Risks?
* 2022: Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing
* 2023: Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine Learning Models

Cressie, N. * 1994: Texture analysis using partially ordered Markov models
* 1995: Optimal Closed Boundary Identification in Gray-Scale Imagery
* 1999: Texture synthesis and pattern recognition for partially ordered Markov models
* 2017: Multivariate Spatial Data Fusion for Very Large Remote Sensing Datasets
* 2018: On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals
* 2019: Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals
* 2022: Inferring Changes in Arctic Sea Ice through a Spatio-Temporal Logistic Autoregression Fitted to Remote-Sensing Data
* 2023: Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data
Includes: Cressie, N. Cressie, N.[Noel]
8 for Cressie, N.

Cressman, K.[Keith] * 2015: Dynamic Vegetation Senescence Indicator for Near-Real-Time Desert Locust Habitat Monitoring with MODIS, A
* 2015: Operational Monitoring of the Desert Locust Habitat with Earth Observation: An Assessment
* 2021: Detecting Desert Locust Breeding Grounds: A Satellite-Assisted Modeling Approach

Cresson, R.[Remi] * 2018: Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery, A

Cresson, T.[Thierry] * 2015: Simultaneous extraction of two adjacent bony structures in x-ray images: Application to hip joint segmentation
* 2019: Toward Automated 3D Spine Reconstruction from Biplanar Radiographs Using CNN for Statistical Spine Model Fitting
* 2023: X-Ray to DRR Images Translation for Efficient Multiple Objects Similarity Measures in Deformable Model 3D/2D Registration
Includes: Cresson, T.[Thierry] Cresson, T.

Cresswell, C. * 1981: Test feature selection for a complex electro-hydraulic servo system using frequency response measurements

Cresswell, K.[Kevin] * 2023: Gauging Heat Vulnerability in Southeast Florida: A Multimodal Approach Integrating Physical Exposure, Sensitivity, and Adaptive Capacity

Creste, J.E.[Jose Eduardo] * 2019: Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks
* 2019: Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
* 2020: convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery, A
* 2020: Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements, A
Includes: Creste, J.E.[Jose Eduardo] Creste, J.E.[José Eduardo]

Cresti, L.[Lisa] * 2023: Neuromorphic Event-based Facial Expression Recognition

Crestto, L.G.[Ludwing Gronemeyer] * 2008: Contribution of Integrated Remote Sensing System (SINAT) to Territorial Management: Towards the Strengthening of the National System of Land Observation

Creswell, A.[Antonia] * 2016: Adversarial Training for Sketch Retrieval
* 2018: Denoising adversarial autoencoders: classifying skin lesions using limited labelled training data
* 2018: Generative Adversarial Networks: An Overview
Includes: Creswell, A.[Antonia] Creswell, A.

Index for "c"