Index for sobr

Sobr, M.[Miroslav] * 2022: Effect of Suspended Particulate Matter on the Supraglacial Lake Depth Retrieval from Optical Data, The
Includes: Sobr, M.[Miroslav] Šobr, M.[Miroslav]

Sobral Escada, M. * 2012: Identifying Spatial Units of Human Occupation in the Brazilian Amazon Using Landsat and CBERS Multi-Resolution Imagery

Sobral, A.[Andrews] * 2014: comprehensive review of background subtraction algorithms evaluated with synthetic and real videos, A
* 2014: Incremental and Multi-feature Tensor Subspace Learning Applied for Background Modeling and Subtraction
* 2014: OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds
* 2015: Background Subtraction via Superpixel-Based Online Matrix Decomposition with Structured Foreground Constraints
* 2015: Comparison of Matrix Completion Algorithms for Background Initialization in Videos
* 2015: Double-constrained RPCA based on saliency maps for foreground detection in automated maritime surveillance
* 2015: Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences
* 2017: Matrix and tensor completion algorithms for background model initialization: A comparative evaluation
Includes: Sobral, A.[Andrews] Sobral, A.
8 for Sobral, A.

Sobral, J.L.[Joao Luis] * 2005: Leather Inspection Based on Wavelets
* 2005: Optimised Filters for Texture Defect Detection
Includes: Sobral, J.L.[Joao Luis] Sobral, J.L.[João Luís] Sobral, J.L.

Sobral, P.[Paula] * 2020: Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods

Sobral, T. * 2021: Knowledge-Assisted Visualization of Multi-Level Origin-Destination Flows Using Ontologies

Sobreira, F.J.A. * 2008: Accuracy of Lacunarity Algorithms in Texture Classification of High Spatial Resolution Images from Urban Areas

Sobrero, D. * 2017: Comparing methods for the approximation of rainfall fields in environmental applications

Sobrevilla, P. * 1992: Multi-processor system for polygonal object recognition by means of fuzzy algorithms
* 2014: recurrent neural network approach for 3D vision-based force estimation, A

Sobrino, J.[Jose] * 2020: Evapotranspiration Estimates at High Spatial and Temporal Resolutions from an Energy-Water Balance Model and Satellite Data in the Capitanata Irrigation Consortium
* 2021: Monitoring Water and Energy Cycles at Climate Scale in the Third Pole Environment (CLIMATE-TPE)
* 2021: Synergistic Use of Multispectral Data and Crop Growth Modelling for Spatial and Temporal Evapotranspiration Estimations
* 2021: Validation of AVHRR Land Surface Temperature with MODIS and In Situ LST: A TIMELINE Thematic Processor
* 2023: Satellite-Derived Land Surface Temperature Dynamics in the Context of Global Change: A Review
Includes: Sobrino, J.[Jose] Sobrino, J.[Josè] Sobrino, J.[José]

Sobrino, J.A. * 2008: NOAA-AVHRR Orbital Drift Correction From Solar Zenithal Angle Data
* 2011: Monitoring global vegetation with the Yearly Land Cover Dynamics (YLCD) method
* 2011: Using NASA'S Long Term Data Record version 3 for the monitoring of land surface vegetation
* 2014: Analysis of the Performance of the TES Algorithm Over Urban Areas
* 2014: Retrieval of Surface Albedo on a Daily Basis: Application to MODIS Data
* 2014: Temperature and Emissivity Separation From MSG/SEVIRI Data
* 2015: CloudSim: A fair benchmark for comparison of methods for times series reconstruction from cloud and atmospheric contamination
* 2015: Exploring the validity of the long term data record V4 database for land surface monitoring
* 2015: Near-Real-Time Estimation of Water Vapor Column From MSG-SEVIRI Thermal Infrared Bands: Implications for Land Surface Temperature Retrieval
* 2016: Review of Thermal Infrared Applications and Requirements for Future High-Resolution Sensors
* 2017: Vicarious Calibration of the Landsat 7 Thermal Infrared Band and LST Algorithm Validation of the ETM Instrument Using Three Global Atmospheric Profiles
* 2018: Improved Single-Channel Method to Retrieve Land Surface Temperature from the Landsat-8 Thermal Band, An
* 2018: Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives
* 2019: Multi-Resolution Study of Thermal Unmixing Techniques over Madrid Urban Area: Case Study of TRISHNA Mission
* 2019: Night Thermal Unmixing for the Study of Microscale Surface Urban Heat Islands with TRISHNA-Like Data
* 2020: Methodology for Comparing the Surface Urban Heat Island in Selected Urban Agglomerations Around the World from Sentinel-3 SLSTR Data, A
* 2020: Surface Temperature of the Planet Earth from Satellite Data
* 2020: Surface Temperature of the Planet Earth from Satellite Data over the Period 2003-2019
* 2021: Evapotranspiration Estimation with the S-SEBI Method from Landsat 8 Data against Lysimeter Measurements at the Barrax Site, Spain
* 2021: New Material-Oriented TES for Land Surface Temperature and SUHI Retrieval in Urban Areas: Case Study over Madrid in the Framework of the Future TRISHNA Mission, A
* 2021: NOAA-AVHRR Orbital Drift Correction: Validating Methods Using MSG-SEVIRI Data as a Benchmark Dataset
* 2022: Exploring the Potential of Lidar and Sentinel-2 Data to Model the Post-Fire Structural Characteristics of Gorse Shrublands in NW Spain
Includes: Sobrino, J.A. Sobrino, J.A.[José A.] Sobrino, J.A.[Jose A.] Sobrino, J.A.[José Antonio]
22 for Sobrino, J.A.

Index for "s"


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