Index for land

Land, E.H. * 1959: Color Vision and the Natural Image
* 1959: Color Vision and the Natural Image: Part I
* 1959: Color Vision and the Natural Image: Part II
* 1959: Experiments in Color Vision
* 1964: Retinex, The
* 1971: Lightness and Retinex Theory
* 1977: Retinex Theory of Color Vision, The
* 1983: Color Vision and the Natural Image
* 1986: alternative technique for the computation of the designator in the retinex theory of color vision, An
Includes: Land, E.H. Land, E.H.[Edwin H.]
9 for Land, E.H.

Land, M.F. * 1994: Where We Look When We Steer
* 2004: Pattern perception in animals remote from man

Land, P.E. * 2018: Correction of Sensor Saturation Effects in MODIS Oceanic Particulate Inorganic Carbon
* 2018: Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour, A
* 2020: Internal Waves at the UK Continental Shelf: Automatic Mapping Using the ENVISAT ASAR Sensor
Includes: Land, P.E. Land, P.E.[Peter E.]

Land, S.[Sander] * 2009: Comparison of Spatial Pattern Spectra, A
* 2011: Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation, An
* 2013: Quality Metrics for High Order Meshes: Analysis of the Mechanical Simulation of the Heart Beat
Includes: Land, S.[Sander] Land, S.

Landa Becerra, R.[Ricardo] * 2008: Triangulation Using Differential Evolution
Includes: Landa Becerra, R.[Ricardo] Landa-Becerra, R.[Ricardo]

Landa Silva, J.D. * 1996: Biometric identification by dermatoglyphics

Landa, B.[Boris] * 2017: Steerable Principal Components for Space-Frequency Localized Images
* 2018: Steerable Graph Laplacian and its Application to Filtering Image Datasets, The
Includes: Landa, B.[Boris] Landa, B.

Landa, B.B. * 2021: Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits

Landa, J.[Jaromir] * 2020: Sharp Feature Detection as a Useful Tool in Smart Manufacturing
Includes: Landa, J.[Jaromir] Landa, J.[Jaromír]

Landa, M.[Martin] * 2021: Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe
* 2022: Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe
* 2022: Open Geospatial System for LUCAS In Situ Data Harmonization and Distribution
* 2023: Redesigning Graphical User Interface of Open-Source Geospatial Software in a Community-Driven Way: A Case Study of GRASS GIS

Landa, V.[Vlad] * 2023: Assessment of Dynamic Mode Decomposition (DMD) Model for Ionospheric TEC Map Predictions
* 2023: Toward Real-Time GNSS Single-Frequency Precise Point Positioning Using Ionospheric Corrections

Landa, Y.[Yanina] * 2006: Visibility of Point Clouds and Mapping of Unknown Environments
* 2013: Spatially Prioritized and Persistent Text Detection and Decoding
Includes: Landa, Y.[Yanina] Landa, Y.[Yafim]

Landabaso, J.L.[Jose Luis] * 2004: Robust Tracking and Object Classification Towards Automated Video Surveillance
* 2006: Reconstruction of 3D Shapes Considering Inconsistent 2D Silhouettes
* 2007: 3D Videoconferencing System with 2D Backwards Compatibility, A
* 2008: Segmentation and tracking of static and moving objects in video surveillance scenarios
* 2008: Shape from inconsistent silhouette
* 2008: Shape from inconsistent silhouette for free viewpoint video
* 2008: Unified Framework for Consistent 2-D/3-D Foreground Object Detection, A
* 2009: Depth estimation based on multiview matching with depth/color segmentation and memory efficient Belief Propagation
* 2009: global probabilistic framework for the foreground, background and shadow classification task, A
* 2009: Multi-view depth estimation based on visual-hull enhanced Hybrid Recursive Matching for 3D video conference systems
* 2010: In-loop feature tracking for structure and motion with out-of-core optimization
Includes: Landabaso, J.L.[Jose Luis] Landabaso, J.L.[Jose-Luis] Landabaso, J.L.
11 for Landabaso, J.L.

Landaluce, H. * 2013: Telematics system for the intelligent transport and distribution of medicines
* 2017: Scalable RFID Tag Estimator With Enhanced Accuracy and Low Estimation Time

Landassuri Moreno, V. * 2006: Eigenconjugation: An Approach for Computing Image Similarity
Includes: Landassuri Moreno, V. Landassuri-Moreno, V.

Landassuri Moreno, V.M.[Victor Manuel] * 2013: Single-Step-Ahead and Multi-Step-Ahead Prediction with Evolutionary Artificial Neural Networks
Includes: Landassuri Moreno, V.M.[Victor Manuel] Landassuri-Moreno, V.M.[Víctor Manuel]

Landau, D. * 2010: Performance Evaluation of UHF RFID Technologies for Real-Time Passenger Recognition in Intelligent Public Transportation Systems
* 2012: Motion modelling and motion compensated reconstruction of tumours in cone-beam computed tomography
Includes: Landau, D. Landau, D.[David]

Landau, G.M.[Gad M.] * 1990: Parallel Algorithms for Contour Extraction and Coding on an EREW PRAM Computer
* 1990: Using Parallel String Matching Algorithm for Contour Based 2-D Shape Recognition
* 1991: Parallel (PRAM EREW) Algorithms for Contour-Based 2D Shape Recognition
* 1991: Parallel Computable Contour Based Feature Strings for 2-D Shape Recognition
Includes: Landau, G.M.[Gad M.] Landau, G.M.

Landau, H.J. * 1961: Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainity II
* 1962: Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainity III: The Dimension of the Space of Essentially Time and Bandlimited Signals

Landau, I.D. * 1982: On-Line Procedure for Recognition of Handprinted Alphanumeric Characters, An

Landau, K. * 2011: Fusion of High Resolution Aerial Multispectral and LiDAR Data: Land Cover in the Context of Urban Mosquito Habitat

Landau, L.[Luiz] * 2011: Multi-temporal analysis of a mangrove ecosystem in Southeastern Brazil using object-based classification applied to IKONOS II data
* 2017: Exploratory Data Analysis of Synthetic Aperture Radar (SAR) Measurements to Distinguish the Sea Surface Expressions of Naturally-Occurring Oil Seeps from Human-Related Oil Spills in Campeche Bay (Gulf of Mexico)
* 2019: Oil-Slick Category Discrimination (Seeps vs. Spills): A Linear Discriminant Analysis Using RADARSAT-2 Backscatter Coefficients (s°, ß°, and ?°) in Campeche Bay (Gulf of Mexic
* 2020: Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements
* 2021: Oil Spills or Look-Alikes? Classification Rank of Surface Ocean Slick Signatures in Satellite Data
* 2022: Machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures: Part 1: Training and Testing Cross Validation

Landau, M.[Michael] * 2010: Multi-cell 3D tracking with adaptive acceptance gates

Landau, M.J. * 2016: Simulating Kinect Infrared and Depth Images

Landau, O.[Ofir] * 2020: Mind Your Mind: EEG-Based Brain-Computer Interfaces and Their Security in Cyber Space

Landau, P. * 1994: Subset Warping: Rubber Sheeting with Cuts

Landau, S.Y.[Serge Yan] * 2021: Estimating the Suitability for the Reintroduced Arabian Oryx (Oryx leucoryx, Pallas 1777) of Two Desert Environments by NIRS-Aided Fecal Chemistry
* 2021: NIRS-Aided Methodology to Elucidate the Nutrition of the Endangered Mountain Gazelle (Gazella gazella) Using Samples of Rumen Contents from Roadkills, A

Landau, U.M. * 1987: Estimation of a Circular Arc Center and Its Radius

Lande, C.[Claudio] * 2003: Method of and apparatus for animation, driven by an audio signal, of a synthesized model of a human face

Lande, T.S. * 2020: Bistatic SAR Radar for Long-Term Snow Pack Monitoring

Landeau, S.[Stephane] * 2012: Non-uniformity Correction of Infrared Images by Midway Equalization
* 2018: Study of the Principal Component Analysis Method for the Correction of Images Degraded by Turbulence
Includes: Landeau, S.[Stephane] Landeau, S.[Stéphane]

Landecker, W. * 2009: Large-scale functional models of visual cortex for remote sensing
* 2014: Robust Sparse Coding and Compressed Sensing with the Difference Map
Includes: Landecker, W. Landecker, W.[Will]

Landelinus, T.[Tomas] * 1997: Learning Canonical Correlations

Landen, T.[Torquil] * 2017: Evaluation of the CO2 emissions pathway from hydrogen production to fuel cell car utilisation

Landenberger, R.[Rick] * 2020: Wildfire Risk Assessment Based on Geospatial Open Data: Application on Chios, Greece

Landenberger, R.E.[Rick E.] * 2003: Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America
* 2003: Image restoration based on multiscale relationships of image structures
Includes: Landenberger, R.E.[Rick E.] Landenberger, R.E.

Lander, K.[Kris] * 2022: downscaling model for derivation of 3-D flood products from VIIRS imagery and SRTM/DEM, A

Landerer, F.[Felix] * 2022: Downscaling Satellite-Based Estimates of Ocean Bottom Pressure for Tracking Deep Ocean Mass Transport

Landeros Ayala, S.[Salvador] * 2021: Optimization in VHTS Satellite System Design with Irregular Beam Coverage for Non-Uniform Traffic Distribution
Includes: Landeros Ayala, S.[Salvador] Landeros-Ayala, S.[Salvador]

Landes, T.[Tania] * 2006: New Approach for Automatic Detection of Buildings in Airborne Laser Scanner Data Using first Echo only
* 2007: Automatic Segmentation of Building Facades Using Terrestrial Laser Data
* 2007: Combining Airborne Photographs and Spaceborne SAR Data to Monitor Temperate Glaciers: Potentials and Limits
* 2007: Hough-Transform and Extended RANSAC Algorithms for Automatic Detection of 3D Building Roof Planes from Lidar Data
* 2007: Model-Driven and Data-Driven Approaches Using LIDAR Data: Analysis and Comparison
* 2008: Comparison Methods of Terrestrial Laser Scanning, Photogrammetry and Tacheometry Data for Recording of Cultural Heritage Buildings
* 2008: High-Resolution SAR Interferometry: Estimation of Local Frequencies in the Context of Alpine Glaciers
* 2008: Influences of Different Materials on the Measurements of a Terrestrial Laser Scanner (TLS)
* 2009: Acquisition and automatic extraction of facade elements on large sites from a low cost laser mobile mapping system
* 2010: High Resolution 3d Recording And Modelling Of The Bronze Age Cave les Fraux In Perigord (France)
* 2011: Georeferencing of TLS Data for Industrial Indoor Complex Scenes: Beyond Current Solutions
* 2011: Reconstruction of 3D Vector Models of Buildings by Combination of ALS, TLS and VLS Data
* 2012: Assessment of Three-Dimensional Models Derived from Lidar and TLS Data
* 2012: Probabilistic Feature Matching Applied To Primitive Based Registration of TLS Data
* 2012: Recording Approach Of Heritage Sites Based On Merging Point Clouds From High Resolution Photogrammetry And Terrestrial Laser Scanning
* 2013: 3D Modeling of Headstones of the 2nd and 3rd Century by Low Cost Photogrammetric Techniques
* 2013: Multi-Dimensional Quality Assessment of Photogrammetric and Lidar Datasets Based on a Vector Approach
* 2014: Localization using RGB-D cameras orthoimages
* 2014: Semi-automatic extraction of sectional view from point clouds: The case of Ottmarsheim's abbey-church
* 2014: Semi-automatic Segmentation and Modelling from Point Clouds towards Historical Building Information Modelling
* 2015: 3D modeling of the Strasbourg's Cathedral basements for interdisciplinary research and virtual visits
* 2015: Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling
* 2015: First Experiences with Kinect V2 Sensor for Close Range 3D Modelling
* 2016: Combination of TLS Point Clouds And 3d Data From Kinect V2 Sensor To Complete Indoor Models
* 2016: Impact Of Level Of Details In The 3d Reconstruction Of Trees For Microclimate Modeling
* 2016: Validation Of Point Clouds Segmentation Algorithms Through Their Application To Several Case Studies For Indoor Building Modelling
* 2017: First Experiences with the Trimble Sx10 Scanning Total Station For Building Facade Survey
* 2017: From TLS Point Clouds to 3D Models of Trees: A Comparison of Existing Algorithms for 3D Tree Reconstruction
* 2017: Performance Investigation of A Handheld 3D Scanner to Define Good Practices for Small Artefact 3D Modeling
* 2017: Photogrammetric Recording And Reconstruction of Town Scale Models: The Case of the Plan-relief of Strasbourg
* 2018: Estimating the leaf area of an individual tree in urban areas using terrestrial laser scanner and path length distribution model
* 2019: Assessment of a Keypoints Detector for The Registration of Indoor And Outdoor Heritage Point Clouds
* 2019: Combination of Thermal and Geometric Information for BIM Enrichment
* 2019: Energy Function Algorithm for Detection of Openings in Indoor Point Clouds
* 2019: Uncertainty Visualization Approaches for 3D Models of Castles Restituted from Archeological Knowledge
* 2020: Automation of Thermal Point Clouds Analysis for the Extraction Of Windows and Thermal Bridges of Building Facades
* 2020: Benchmark for Large-scale Heritage Point Cloud Semantic Segmentation, A
* 2020: Evaluation of Mobile Mapping Systems for Indoor Surveys
* 2020: Uhi Estimation Based on Aster and Modis Satellite Imagery: First Results on Strasbourg City, France
* 2021: Automation of Windows Detection From Geometric and Radiometric Information of Point Clouds In a Scan-to-BIM Process
* 2021: Evaluation of the Seasonal Nighttime LST-Air Temperature Discrepancies And Their Relation to Local Climate Zones (lcz) in Strasbourg
* 2021: First Assessments Into the Use of Commercial-grade Solid State Lidar For Low Cost Heritage Documentation
* 2021: Registration Optimization of Mobile Handheld Scanner Point Clouds With Static Scans
* 2021: Semantic Segmentation for Building FaÇade 3d Point Cloud From 2d Orthophoto Images Using Transfer Learning
Includes: Landes, T.[Tania] Landes, T.
44 for Landes, T.

Landesa Vazquez, I.[Iago] * 2010: Role of Polarity in Haar-like Features for Face Detection, The
* 2012: Shedding light on the asymmetric learning capability of AdaBoost
Includes: Landesa Vazquez, I.[Iago] Landesa-Vazquez, I.[Iago] Landesa-Vázquez, I.[Iago]

Landesa, L. * 2013: MLFMA-FFT Parallel Algorithm for the Solution of Extremely Large Problems in Electromagnetics

Landeweerd, G.H. * 1978: Use of Nuclear Texture Parameters in the Automatic Analysis of Leukocytes, The
* 1981: Interactive pattern recognition of blood cells in malignant lymphomas
* 1982: Pattern Recognition of Nucleated Cells from the Peripheral Blood
* 1983: Binary Tree Versus Single Level Tree Classification of White Blood Cells
* 1983: Classification of Normal and Abnormal Samples of Peripheral Blood by Linear Mapping of the Feature Space
* 1983: Pattern Recognition of Nucleated Cells from the Peripheral Blood

Landgraf, D.[Dirk] * 2017: Robinia pseudoacacia L. Flower Analyzed by Using An Unmanned Aerial Vehicle (UAV)

Landgraf, J.[Jochen] * 2024: Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product

Landgraf, T.[Tom] * 2014: Automated Traffic Analysis in Aerial Images

Landgraf, Z.[Zoe] * 2021: SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks

Landgrebe, D.A. * 1969: Information Processing of Remote Sense Agricultural Data
* 1976: Computer Classification of Remotely Sensed Multispectral Image Data by Extraction and Classification of Homogeneous Objects
* 1976: Variance Comparisons for Unbiased Estimators of Probabilities of Correct Classifications
* 1977: Empirical Study of Scanner System Parameters, An
* 1980: Analytical Design of Multispectral Sensors
* 1980: Development of a Spectral-Spatial Classifier for Earth Observational Data, The
* 1980: Overcoming Accuracy Deterioration in Pixel Relaxation Labeling
* 1981: Analysis Technology for Land Remote Sensing
* 1981: On the Accuracy of Pixel Relaxation
* 1981: Pixel Labeling by Supervised Probabilistic Relaxation
* 1982: Supervised Pixel Relaxation Labeling as a Means for Utilizing Ancillary Information in the Classification of Remote Sensing Image Data
* 1983: Feature Selection When Limited Numbers of Training Samples are Available
* 1983: K-L Expansion as an Effective Feature Ordering Technique for Limited Training Sample Size, The
* 1983: Land Observational Sensors in Perspective
* 1983: Predicting the Required Number of Training Samples
* 1984: Adaptive Relaxation Labeling
* 1984: Binary Tree Feature Selection Technique for Limited Training Set Size, A
* 1985: Special Issue on Perceiving Earth's Resources from Space
* 1986: Noise in Remote Sensing Systems: Effect on Classification Accuracy
* 1986: Utilizing Multitemporal Data by a Stochastic Model
* 1987: Stochastic Model Utilizing Spectral and Spatial Characteristics
* 1989: Simulation of Optical Remote Sensing Systems
* 1989: Spectral Feature Design System for the HIRIS/MODIS Era, A
* 1991: Analytical Model of Earth Observational Remote Sensing Systems, An
* 1991: Fast Multistage Likelihood Classification
* 1991: Hierarchical Classifier Design in High Dimensional, Numerous Class Cases
* 1991: Parameter Tradeoffs for Imaging Spectroscopy Systems
* 1991: Survey of Decision Tree Classifier Methodology, A
* 1992: Classification with Spatio-Temporal Interpixel Class Dependency Contexts
* 1993: Analyzing High Dimensional Multispectral Data
* 1993: Decision Boundary Feature Extraction for Non-Parametric Classification
* 1993: Feature Extraction Based on Decision Boundaries
* 1994: Effect of Unlabeled Samples in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon, The
* 1994: Fast Parzen Density-Estimation Using Clustering-Based Branch-And-Bound
* 1996: Classification of Remote Sensing Images Having High Spectral Resolution
* 1996: Covariance-Matrix Estimation and Classification with Limited Training Data
* 1996: Video and image systems engineering education for the 21st century
* 1997: Decision Boundary Feature-Extraction for Neural Networks
* 1997: Evolution of LANDSAT Data-Analysis, The
* 1998: Supervised Classification in High-Dimensional Space: Geometrical, Statistical, and Asymptotical Properties of Multivariate Data
* 1999: Decision Fusion Approach for Multitemporal Classification
* 1999: Hyperspectral Data Analysis and Supervised Feature Reduction Via Projection Pursuit
* 1999: On the Classification of Classes with Nearly Equal Spectral Response in Remote Sensing Hyperspectral Image Data
* 1999: Partially Supervised Classification Using Weighted Unsupervised Clustering
* 2000: Robust Parameter Estimation for Mixture Model
* 2001: adaptive classifier design for high-dimensional data analysis with a limited training data set, An
* 2001: Introduction to the special issue on analysis of hyperspectral image data
* 2002: adaptive method for combined covariance estimation and classification, An
* 2002: model-based mixture-supervised classification approach in hyperspectral data analysis, A
* 2002: process model for remote sensing data analysis, A
* 2002: robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction, A
* 2004: Cost-Effective Semisupervised Classifier Approach With Kernels, A
* 2004: Nonparametric Weighted Feature Extraction for Classification
* 2004: Toward an Optimal Supervised Classifier for the Analysis of Hyperspectral Data
* 2005: Multispectral Land Sensing: Where From, Where to?
Includes: Landgrebe, D.A. Landgrebe, D.A.[David A.]
55 for Landgrebe, D.A.

Landgrebe, T.C.W.[Thomas C.W.] * 2006: Combining Accuracy and Prior Sensitivity for Classifier Design Under Prior Uncertainty
* 2006: interaction between classification and reject performance for distance-based reject-option classifiers, The
* 2006: Precision-recall operating characteristic (P-ROC) curves in imprecise environments
* 2007: Approximating the multiclass ROC by pairwise analysis
* 2008: Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis
* 2010: ROC Analysis and Cost-Sensitive Optimization for Hierarchical Classifiers
* 2010: ROC skeleton for multiclass ROC estimation, The
* 2011: Spatio-Temporal Knowledge-Discovery Platform for Earth-Science Data, A
Includes: Landgrebe, T.C.W.[Thomas C.W.] Landgrebe, T.C.W.
8 for Landgrebe, T.C.W.

Landgren, M.[Matilda] * 2011: Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images, An
* 2011: Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies
* 2014: Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients, A
* 2016: Shape-aware multi-atlas segmentation
* 2019: Shape-aware label fusion for multi-atlas frameworks

Landgridge, D.J. * 1972: On the Computation of Shape

Landi, A. * 2019: HBIM Analysis of The Geometry to Understand The Constructive Technique: The Use of The Trompe Volume in a Brick Vault, The

Landi, A.G. * 2017: Shape And Construction of Brick Vaults. Criteria, Methods And Tools For A Possible Catalogue
* 2018: HBIM Feeding Open Access Vault Inventory Through GeoDB HUB
* 2020: Wrap-up Synthesis Model from High-Quality HBIM Complex Models, and Specifications, to Assess Built Cultural Heritage in Fragile Territories (arquata Del Tronto, Earthquake 2016, the Church of St. Francesco, It)
Includes: Landi, A.G. Landi, A.G.[Angelo Giuseppe]

Landi, C.[Claudia] * 2006: Using matching distance in size theory: A survey
* 2007: k-dimensional Size Functions for Shape Description and Comparison
* 2008: Describing shapes by geometrical-topological properties of real functions
* 2008: Multidimensional Size Functions for Shape Comparison
* 2009: Recognition of Occluded Shapes Using Size Functions
* 2011: Global Method for Reducing Multidimensional Size Graphs, A
* 2011: Persistent Betti Numbers for a Noise Tolerant Shape-Based Approach to Image Retrieval
* 2012: Persistence Modules, Shape Description, and Completeness
* 2012: Persistent homology and partial similarity of shapes
* 2013: Persistence Space in Multidimensional Persistent Homology, The
* 2013: Persistent Betti Numbers for a Noise Tolerant Shape-Based Approach to Image Retrieval
* 2013: Persistent Betti Numbers for a Noise Tolerant Shape-Based Approach to Image Retrieval
* 2014: Special section on computational topology in image context
* 2014: Stable Shape Comparison of Surfaces via Reeb Graphs
* 2017: Algorithmic Construction of Acyclic Partial Matchings for Multidimensional Persistence
* 2017: Reeb Graphs of Piecewise Linear Functions
* 2019: Acyclic Partial Matchings for Multidimensional Persistence: Algorithm and Combinatorial Interpretation
* 2023: Compensation for Patient Movements in CBCT Imaging for Dental Applications
Includes: Landi, C.[Claudia] Landi, C.[Claudio]
18 for Landi, C.

Landi, F.[Filippo] * 2021: Evaluation of Current Trends of Climatic Actions in Europe Based on Observations and Regional Reanalysis
* 2021: Explore and Explain: Self-supervised Navigation and Recounting
* 2021: Multimodal attention networks for low-level vision-and-language navigation
* 2021: Out of the Box: Embodied Navigation in the Real World
* 2021: VITON-GT: An Image-based Virtual Try-On Model with Geometric Transformations
* 2022: Dress Code: High-Resolution Multi-category Virtual Try-On
* 2022: Dress Code: High-Resolution Multi-category Virtual Try-On
* 2022: Embodied Navigation at the Art Gallery
* 2022: Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
Includes: Landi, F.[Filippo] Landi, F.[Federico]
9 for Landi, F.

Landi, G. * 2006: Representation of High Resolution Images from Low Sampled Fourier Data: Applications to Dynamic MRI
* 2007: Truncated Lagrange Method for Total Variation-Based Image Restoration, A
* 2009: Algorithm for Image Denoising with Automatic Noise Estimate, An
* 2015: 3D Tracking Based Augmented Reality for Cultural Heritage Data Management
* 2015: Modified Newton Projection Method for TeX -Regularized Least Squares Image Deblurring, A

Landi, L. * 1992: Dynamic Neural Estimation for Autonomous Vehicles Driving
* 1993: Determination of road directions using feedback neural nets
* 1996: 3D Object Classification Using Multiobject Kohonen Networks

Landi, M.[Marco] * 2011: Multispectral Imaging and Digital Restoration for Paintings Documentation

Landi, T.C.[Tony Christian] * 2020: Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction
* 2021: Aerosol Direct Radiative Effects under Cloud-Free Conditions over Highly-Polluted Areas in Europe and Mediterranean: A Ten-Years Analysis (2007-2016)
Includes: Landi, T.C.[Tony Christian] Landi, T.C.[Tony C.]

Landier, L. * 2020: Introduction of Clouds In Dart Model
* 2023: Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates
Includes: Landier, L. Landier, L.[Lucas]

Landini, F.[Federico] * 2022: Ego4D: Around the World in 3,000 Hours of Egocentric Video

Landini, G.[Gabriel] * 2012: application of support vector machine classification to detect cell nuclei for automated microscopy, The
* 2013: Discrete Mereotopology for Spatial Reasoning in Automated Histological Image Analysis
* 2016: Morphological Separation of Clustered Nuclei in Histological Images
* 2016: Three-dimensional connectivity index for texture recognition
* 2019: Novel applications of discrete mereotopology to mathematical morphology

Landini, L. * 2020: Probabilistic Graphical Models for Dynamic PET: A Novel Approach to Direct Parametric Map Estimation and Image Reconstruction

Landis, D.R.[David R.] * 2017: 2013 FLEX: US Airborne Campaign at the Parker Tract Loblolly Pine Plantation in North Carolina, USA, The
* 2017: Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series

Landis, M. * 2015: Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model
* 2017: Unsupervised shape discovery using synchronized spectral networks
Includes: Landis, M. Landis, M.[Mark]

Landis, M.E.[Margaret E.] * 2022: Revealing Active Mars with HiRISE Digital Terrain Models

Landivar, J.[Juan] * 2018: Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data
* 2019: Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data, A
* 2019: Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture
* 2019: novel framework to detect conventional tillage and no-tillage cropping system effect on cotton growth and development using multi-temporal UAS data, A
* 2020: Comparison of Canopy Shape and Vegetation Indices of Citrus Trees Derived from UAV Multispectral Images for Characterization of Citrus Greening Disease
* 2020: Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
* 2020: Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework
* 2021: 3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery
* 2021: Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping
* 2021: Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture
* 2021: Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture
Includes: Landivar, J.[Juan] Landivar, J.[Jose]
11 for Landivar, J.

Landkocz, Y.[Yann] * 2020: Impact of Sea Breeze Dynamics on Atmospheric Pollutants and Their Toxicity in Industrial and Urban Coastal Environments

Landl, M.[Magdalena] * 2021: Robust Skeletonization for Plant Root Structure Reconstruction from MRI

Landman, A. * 2018: Modeling Human Difference Threshold in Perceiving Mechanical Properties From Force

Landman, B.[Bennett] * 2021: Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
* 2022: Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
* 2022: UNETR: Transformers for 3D Medical Image Segmentation
* 2023: Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

Landman, B.A.[Bennett A.] * 2007: Diffusion Tensor Estimation by Maximizing Rician Likelihood
* 2011: Robust Statistical Label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE)
* 2012: Do We Really Need Robust and Alternative Inference Methods for Brain MRI?
* 2012: Formulating Spatially Varying Performance in the Statistical Fusion Framework
* 2012: Formulating Spatially Varying Performance in the Statistical Fusion Framework
* 2012: Robust Statistical Fusion of Image Labels
* 2018: TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction
* 2019: Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks
* 2019: SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
* 2021: Body Part Regression With Self-Supervision
* 2021: Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation
* 2022: Circle Representation for Medical Object Detection
* 2023: CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Includes: Landman, B.A.[Bennett A.] Landman, B.A.
13 for Landman, B.A.

Landman, M.S.[Malena Sabate] * 2023: Latent-space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data

Landman, R.L. * 2015: Improving the road network performance with dynamic route guidance by considering the indifference band of road users

Landmann, J.M. * 2016: Comprehensive Spectral Signal Investigation Of A Larch Forest Combining Ground- And Satellite-based Measurements

Landmann, T.[Tobias] * 2015: Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping, The
* 2016: Quantifying the Impacts of Environmental Factors on Vegetation Dynamics over Climatic and Management Gradients of Central Asia
* 2017: Predicting Spatial Distribution of Key Honeybee Pests in Kenya Using Remotely Sensed and Bioclimatic Variables: Key Honeybee Pests Distribution Models
* 2018: Importance of Remotely-Sensed Vegetation Variables for Predicting the Spatial Distribution of African Citrus Triozid (Trioza erytreae) in Kenya
* 2019: Comparative Analysis of Planetscope and Sentinel Sentinel-2 Space-borne Sensors in Mapping Striga Weed Using Guided Regularised Random Forest Classification Ensemble, A
* 2020: Potential of Resampled Multispectral Data for Detecting Desmodium-brachiaria Intercropped With Maize In A push-pull System
* 2020: Spatially Transferable Drought Hazard and Drought Risk Modeling Approach Based on Remote Sensing Data, A
* 2020: Wide-area invasive species propagation mapping is possible using phenometric trends
* 2022: Assessing the Environmental Suitability for Transhumance in Support of Conflict Prevention in the Sahel
Includes: Landmann, T.[Tobias] Landmann, T.
9 for Landmann, T.

Landmark, K. * 2015: Radon-Transform-Based Image Noise Filter: With Applications to Multibeam Bathymetry, A

Landmark, S.[Solveig] * 2022: Estimating Forest Soil Properties for Humus Assessment: Is Vis-NIR the Way to Go?

Lando, M.[Maria] * 1995: Generalization from a Single View in Face Recognition

Landola, F. * 2019: SqueezeNAS: Fast Neural Architecture Search for Faster Semantic Segmentation

Landolt, M. * 2021: Memory of a 2nd WW Camp: 3d Modeling Using the Combination Of Hybrid Technologies, The

Landon, G.[George] * 2014: New Perspective on Material Classification and Ink Identification, A

Landon, G.V.[George V.] * 2005: Geometric and Photometric Restoration of Distorted Documents
* 2006: Petroglyph digitization: enabling cultural heritage scholarship
* 2007: Towards Automatic Photometric Correction of Casually Illuminated Documents
* 2009: New Technique for the Digitization and Restoration of Deteriorated Photographic Negatives, A

Landraud, A.M. * 1989: algorithm for finding a common structure shared by a family of strings, An
* 1989: Image Processing for Primitive Image Features Recognition in the Case of Discontinuous Line Images of Printed Characters
* 1995: Texture segmentation using local phase differences in Gabor filtered images
Includes: Landraud, A.M. Landraud, A.M.[Anne M] Landraud, A.M.[Anne M.]

Landraudlamole, A.M. * 1998: Principle of a Parallel Vision System Adapted to Textures: A Theoretical Solution for Selecting Visual Filters

Landrault, A.[Alexis] * 2008: Embedding of a Real Time Image Stabilization Algorithm on SoPC Platform, a Chip Multi-processor Approach
* 2011: Embedding of a real time image stabilization algorithm on a parameterizable SoPC architecture a chip multi-processor approach
* 2016: Embedded multi-processor system-on-programmable chip for smart camera pose estimation using nonlinear optimization methods

Landre, J.[Jerome] * 2009: Ornamental Letters Image Classification Using Local Dissimilarity Maps
* 2009: Retrieval of the Ornaments from the Hand-Press Period: An Overview
* 2010: Binary pattern matching from a local dissimilarity measure
* 2022: Satellite Image Change Detection Using Disjoint Information and Local Dissimilarity Map
Includes: Landre, J.[Jerome] Landré, J.[Jérôme]

Landre, M. * 2012: Geoprocessing Journey-to-Work Data: Delineating Commuting Regions in Dalarna, Sweden
Includes: Landre, M. Landré, M.

Landre, V.[Victor] * 2017: Memory Effects in Subjective Quality Assessment of X-Ray Images

Landreau, P. * 2016: Constrained Statistical Modelling of Knee Flexion From Multi-Pose Magnetic Resonance Imaging

Landreneau, E.[Eric] * 2006: Interactive Face-Replacements for Modeling Detailed Shapes

Landrieu, J. * 2011: Digital Rebirth of the Greatest Church of Cluny Maior Ecclesia: From Optronic Surveys to Real Time Use of the Digital Model
* 2013: Hybrid Representation of Digital Mockup for Heritage Buildings Management

Landrieu, L.[Loic] * 2015: Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs
* 2017: Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs
* 2017: structured regularization framework for spatially smoothing semantic labelings of 3D point clouds, A
* 2017: Weakly Supervised Segmentation-aided Classification of Urban Scenes From 3D Lidar Point Clouds
* 2018: Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs
* 2019: Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning
* 2020: Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention
* 2020: Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds
* 2021: Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series
* 2021: Muti-modal learning in photogrammetry and remote sensing
* 2021: Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
* 2021: Representing Shape Collections With Alignment-Aware Linear Models
* 2022: Deep Surface Reconstruction from Point Clouds with Visibility Information
* 2022: Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
* 2022: Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
* 2022: Multi-modal temporal attention models for crop mapping from satellite time series
* 2022: Online Segmentation of LiDAR Sequences: Dataset and Algorithm
* 2023: Efficient 3D Semantic Segmentation with Superpoint Transformer
Includes: Landrieu, L.[Loic] Landrieu, L.[Loïc] Landrieu, L.
18 for Landrieu, L.

Landro, L.A.D.[Luca Angelo Di] * 2020: Ballistic Ground Penetrating Radar Equipment for Blast-Exposed Security Applications

Landro, M.[Martin] * 2021: Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning
Includes: Landro, M.[Martin] Landrø, M.[Martin]

Landro, N. * 2019: Are These Birds Similar: Learning Branched Networks for Fine-grained Representations
* 2020: Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data
* 2020: Image and Text fusion for UPMC Food-101 using BERT and CNNs
* 2020: Improving the Efficient Neural Architecture Search via Rewarding Modifications
* 2020: Visual Word Embedding for Text Classification
* 2021: EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task
* 2021: Learning to Navigate in the Gaussian Mixture Surface
* 2021: Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping
* 2022: Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars, An
* 2022: OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees
* 2023: Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images
* 2023: In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series
Includes: Landro, N. Landro, N.[Nicola]
12 for Landro, N.

Landrum, S.H.[Stephen H.] * 1996: Resolution enhancement for video display using multi-line interpolation
* 2001: Resolution enhancement for video display using multi-line interpolation

Landry, C. * 1999: Three-dimensional modelling and rendering of the human skeletal trunk from 2D radiographic images

Landry, D.[David] * 2016: Automating Node Pruning for LiDAR-Based Topometric Maps in the Context of Teach-and-Repeat

Landry, D.J. * 1979: On the classification of congenital abnormalities from hand radiographs

Landry, J.A.[Jacques Andre] * 2003: new method for representing and matching shapes of natural objects, A
Includes: Landry, J.A.[Jacques Andre] Landry, J.A.[Jacques-André]

Landry, R. * 2015: New Survey on Self-Tuning Integrated Low-Cost GPS/INS Vehicle Navigation System in Harsh Environment, A
Includes: Landry, R. Landry, Jr., R.

Landry, S.[Steven] * 2018: Driver Behavior at Simulated Railroad Crossings
* 2020: Best of Both Worlds? Integrating Sentinel-2 Images and airborne LiDAR to Characterize Forest Regeneration, The
Includes: Landry, S.[Steven] Landry, S.[Stéphanie]

Landry, S.J. * 2015: Eye Movement Analysis Algorithm for a Multielement Target Tracking Task: Maximum Transition-Based Agglomerative Hierarchical Clustering, An
* 2019: Examining Error Likelihood When Using Enhanced Vision Systems for Approach and Landing
Includes: Landry, S.J. Landry, S.J.[Steven J.]

Landry, S.M.[Shawn M.] * 2022: Using Remote Sensing and Machine Learning to Locate Groundwater Discharge to Salmon-Bearing Streams
* 2023: Mapping Groundwater Recharge Potential in High Latitude Landscapes Using Public Data, Remote Sensing, and Analytic Hierarchy Process

Landry, T.[Tom] * 2013: GIS-Centric Optical Tracking System and Lap Simulator for Short Track Speed Skating, A

Landsberg, F.[Florence] * 2006: Fuzzy Multi-temporal Land-use Analysis and Mine Clearance Application

Landsiedel, O.[Olaf] * 2023: ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training

Landstrom, A.[Anders] * 2011: Image Reconstruction by Prioritized Incremental Normalized Convolution
* 2013: Adaptive Morphological Filtering of Incomplete Data
* 2013: Adaptive morphology using tensor-based elliptical structuring elements
* 2013: Sub-Millimeter Crack Detection in Casted Steel Using Color Photometric Stereo
* 2014: Adaptive mathematical morphology: A survey of the field
* 2015: Approach to Adaptive Quadratic Structuring Functions Based on the Local Structure Tensor, An
Includes: Landstrom, A.[Anders] Landström, A.[Anders] (Maybe also Landstroem, A.)Landstrom, A.

Landucci, L.[Lea] * 2005: Computer Vision Based System for Interactive Cooperation of Multiple Users
* 2006: Multi-User Natural Interaction System based on Real-Time Hand Tracking and Gesture Recognition
* 2006: wikiTable: finger driven interaction for collaborative knowledge-building workspaces
* 2013: Natural Interactive System for Hemispatial Neglect Rehabilitation
* 2013: Passive Profiling and Natural Interaction Metaphors for Personalized Multimedia Museum Experiences
* 2016: Imaging Novecento. A Mobile App for Automatic Recognition of Artworks and Transfer of Artistic Styles

Landulfo, E.[Eduardo] * 2014: Atmospheric aerosol measurements in São Paulo, Brazil
* 2019: Synergetic Aerosol Layer Observation After the 2015 Calbuco Volcanic Eruption Event
* 2020: Development of ZJU High-Spectral-Resolution Lidar for Aerosol and Cloud: Extinction Retrieval
* 2022: First Lidar Campaign in the Industrial Sites of Volta Redonda-RJ and Lorena-SP, Brazil

Landuyt, L.[Lisa] * 2019: Flood Mapping Based on Synthetic Aperture Radar: An Assessment of Established Approaches
* 2020: Flood Mapping in Vegetated Areas Using an Unsupervised Clustering Approach on Sentinel-1 and -2 Imagery
* 2020: Visualization Tool for Flood Dynamics Monitoring Using a Graph-Based Approach, A
* 2022: Targeting Plastics: Machine Learning Applied to Litter Detection in Aerial Multispectral Images

Landwehr, N.[Niels] * 2021: Optimized Deep Learning Model as a Basis for Fast UAV Mapping of Weed Species in Winter Wheat Crops

Landy, J. * 2017: Electromagnetic Detection Case Study on Crude Oil Injection in a Young Sea Ice Environment, An
* 2018: Controlled Experiment on Oil Release Beneath Thin Sea Ice and Its Electromagnetic Detection, A
* 2021: CryoSat-2 Significant Wave Height in Polar Oceans Derived Using a Semi-Analytical Model of Synthetic Aperture Radar 2011-2019
Includes: Landy, J. Landy, J.[Jack]

Landy, J.C.[Jack C.] * 2014: Study on the C-Band Polarimetric Scattering and Physical Characteristics of Frost Flowers on Experimental Sea Ice, A
* 2015: Numerical and Experimental Evaluation of Terrestrial LiDAR for Parameterizing Centimeter-Scale Sea Ice Surface Roughness
* 2015: Parameterization of Centimeter-Scale Sea Ice Surface Roughness Using Terrestrial LiDAR
* 2017: Evaluating Scattering Contributions to C-Band Radar Backscatter From Snow-Covered First-Year Sea Ice at the Winter-Spring Transition Through Measurement and Modeling
* 2018: Investigations into Frost Flower Physical Characteristics and the C-Band Scattering Response
* 2019: Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces, A
* 2019: Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces, A
* 2021: Revisiting Trans-Arctic Maritime Navigability in 2011-2016 from the Perspective of Sea Ice Thickness
Includes: Landy, J.C.[Jack C.] Landy, J.C.
8 for Landy, J.C.

Landy, M.[Michael] * 1985: Intelligible Encoding of ASL Image Sequences at Extremely Low Information Rates
* 1986: Intelligible Encoding of ASL Image Sequences at Extremely Low Information Rates

Landy, M.S.[Michael S.] * 1984: HIPS: A Unix-Based Image Processing System
* 1984: HIPS: Image Processing Under UNIX. Software and Applications
* 1985: Hierarchical Coding of Binary Images
* 1985: Vectorgraph Coding: Efficient Coding of Line Drawings
* 1986: Brief Survey of Knowledge Aggregation Methods, A
* 1988: EVE: Software for Visual Modeling
* 1988: Statistical Viewpoint on the Theory of Evidence, A
* 1991: Computational Models of Visual Processing
* 1991: Texture Segregation and Orientation Gradient
* 1993: HIPS-2 Software for Image Processing: Goals and Directions
* 1995: Exploratory Vision: The Active Eye
Includes: Landy, M.S.[Michael S.] Landy, M.S.
11 for Landy, M.S.

Landzettel, K. * 1980: Automated TV Tracking of Moving Objects: The DFVLR Tracker and Related Approaches

Index for "l"