Subpixel Mapping for Remote Sensing Images

Author:   Peng Wang ,  Lei Zhang
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032229386


Pages:   268
Publication Date:   15 December 2022
Format:   Hardback
Availability:   In Print   Availability explained
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.

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Subpixel Mapping for Remote Sensing Images


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Overview

Subpixel 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 Details

Author:   Peng Wang ,  Lei Zhang
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.449kg
ISBN:  

9781032229386


ISBN 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   Availability explained
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.

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Peng 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.

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