Onboard Processing for Satellite Remote Sensing Images
- Available for pre-order on April 21, 2023. Item will ship after May 12, 2023
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Onboard image processing systems are used to maximize image data transmission efficiency for large volumes of data gathered by Earth observation satellites. This book explains methods, mathematical models, and key technologies used on on-board processing for remotely sensed satellite images. It introduces the background, basic concepts, and the architecture of on-board image processing, along with on-board detection of the image feature and matching, ground control point identification, on-board geometric correction, calibration, geographic registration, etc.
1. Describes algorithms and methodologies for on-board image processing with FPGA chips.
2. Migrates the traditional on-ground computing to on-board operation and the image processing is implemented on-board, not on-ground.
3. Introduces for the first time many key technologies and methods for onboard image processing.
4. Emphasis the recent progress in image processing by using onboard FPGA chips.
5. Includes case studies from the author’s extensive research and experience on the topic.
Onboard Processing for Satellite Remote Sensing Images is an insightful text for students studying remote sensing, information technology, computer science and engineering, electronic engineering, and geography at the senior undergraduate or graduate level. Researchers interested in satellite remote sensing image processing in academia, and professionals in the governmental and commercial sectors will also benefit from this book.
Table of Contents
1. Introduction 2. On-Board Remotely Sensed Data Processing 3. On-Board Detection and Matching of Feature Points 4. On-Board Ground Control Point Extraction 5. Geometric Calibration of Satellite Images 6. An FPGA-Based On-Board Geometic Calibration for Linear Imager 7. On-Board Georeferencing Using FPGA-Based Optimized 2nd Polynomial Equation 8. On-Board Ortho-Rectification for Images Based On an FPGA 9. RPC-Based Orthorectification for Satellite Images Using FPGA 10. On-Board Change Detection of SAR Flood Image
Dr. Guoqing Zhou is a professor at the Guilin University of Technology, Guilin, China. He received his first PhD from Wuhan University, Wuhan, China, in 1994 and his second PhD from Virginia Tech at Blacksburg, Virginia, USA, in 2001. He was a visiting scholar at the Department of Computer Science and Technology, Tsinghua University, Beijing, China, and a postdoctoral researcher at the Institute of Information Science, Beijing Jiaotong University, Beijing, China, from 1994–1996. He continued his research as an Alexander von Humboldt Fellow at the Technical University of Berlin, Berlin, Germany, from 1997–1998 and afterward became a postdoctoral researcher at the Ohio State University, Columbus, OH, USA, from 1998 to 2000. Later he worked at Old Dominion University, Norfolk, VA, USA, as an assistant professor, associate professor, and full professor in 2000, 2005, and 2010, respectively. He has authored 11 books, seven book chapters, and more than 450 peer-refereed publications with more than 230 journal articles.