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OverviewSubpixel mapping is a technology that generates a fine resolution land cover map from coarse resolution fractional images by predicting the spatial locations of different land cover classes at the subpixel scale. This book provides readers with a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Step-by-step procedures, experimental contents, and result analyses are explained clearly at the end of each chapter. Real-life applications are a great resource for understanding how and where to use subpixel mapping when dealing with different remote sensing imaging data. This book will be of interest to undergraduate and graduate students, majoring in remote sensing, surveying, mapping, and signal and information processing in universities and colleges, and it can also be used by professionals and researchers at different levels in related fields. Full Product DetailsAuthor: Peng Wang , Lei ZhangPublisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.449kg ISBN: 9781032229386ISBN 10: 1032229381 Pages: 268 Publication Date: 15 December 2022 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback 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. Basic Principle of Sub-pixel Mapping. Sub-pixel Mapping Based on Single Remote Sensing Image. Subpixel Mapping Based on Multi-Shift Remote Sensing Images. Subpixel Mapping of Remote Sensing Imaging Based on Pansharpening Technology. Subpixel Mapping of Remote Sensing Image Based on Reconstruction then Classification. Application of Subpixel Mapping Technology in Remote Sensing Imaging.ReviewsAuthor InformationPeng Wang earned his Ph.D. from the College of Information and Communications Engineering, Harbin Engineering University, Harbin, China, in 2018. He is currently an associate professor at the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, China. His research interests include remote sensing imagery processing and machine learning. He has authored one book and more than 50 papers. Lei Zhang earned his Ph.D. from the Graduate School of Chinese Academy of Sciences in 2008 and finished the postdoctoral program at Tsinghua University in 2010. From 2011 to 2012 he was an associate professor at the Chinese University of Hong Kong, and from 2012 to 2015 at the Shanghai Institute of Technical Physics of Chinese Academy of Sciences. Now he is a professor in Tongji University. His research interests include intelligent information processing and spatio-temporal applications. Tab Content 6Author Website:Countries AvailableAll regions |
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