Subpixel Mapping for Remote Sensing Images
1st Edition
Published on 15. December 2022
282 pages
978-1-000-82074-4 (ISBN)
Description
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.
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.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
41 Tables, black and white; 52 Line drawings, color; 16 Line drawings, black and white; 105 Halftones, color; 6 Halftones, black and white; 157 Illustrations, color; 22 Illustrations, black and white
ISBN-13
978-1-000-82074-4 (9781000820744)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Peng Wang | Lei Zhang
Subpixel Mapping for Remote Sensing Images
Book
11/2024
1st Edition
CRC Press
€92.70
Shipment within 10-20 days
Peng Wang | Lei Zhang
Subpixel Mapping for Remote Sensing Images
Book
12/2022
1st Edition
CRC Press
€178.27
Shipment within 10-20 days
Persons
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.
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.
Content
Introduction. 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.
