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. Features 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.