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OverviewFull Product DetailsAuthor: Rémi Cresson (IRSTEA/INRAE/UMR TETIS)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.300kg ISBN: 9780367518981ISBN 10: 0367518988 Pages: 152 Publication Date: 16 January 2022 Audience: College/higher education , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsIntroduction I Backgrounds II Patch Based Classification III Semantic Segmentation IV Image RestorationReviewsAuthor InformationRemi Cresson received the M. Sc. in electrical engineering from the Grenoble Institute of Technology, France, 2009. He is with the Land, Environment, Remote Sensing and Spatial Information Joint Research Unit (UMR TETIS), at the French Research Institute of Science and Technology for Environment and Agriculture (Irstea), Montpellier, France. His research and engineering interests include remote sensing image processing, High Performance Computing, and geospatial data inter-operability. He is member of the Orfeo ToolBox Project Steering Committee and charter member of the Open source geospatial foundation (OSGEO). Tab Content 6Author Website:Countries AvailableAll regions |
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