What is it about?
This book provides a global review of optical satellite image and data compression theories, algorithms, and system implementations. Consisting of 9 chapters, it describes a variety of lossless and near-lossless data compression techniques and three international satellite-data-compression standards. The author shares his 30 years firsthand experience and research results in developing novel satellite-data-compression techniques for both onboard and on-ground use, user assessment of the impact that data compression has on satellite data applications, building hardware compression systems, and optimizing and deploying systems.
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Why is it important?
Written with both postgraduate students and advanced professionals in mind, this handbook addresses important issues of satellite data compression and implementation, and it presents an end-to-end treatment of data compression technology.
Perspectives
Shen-En Qian is a senior scientist and technical authority at the Canadian Space Agency. He is an internationally recognized expert in optical spacecraft payloads, space technologies for satellite missions and deep space exploration, remote sensing, satellite signal processing and enhancement, on-board satellite data compression, data handling and international standards for spacecraft data systems. He has 30 years experience in these areas. He holds 17 patents in U.S., Europe, Canada and Australia. Dr. Qian is the sole author of three reference books on optical satellites and their signal processing and a co-author of four other books. He has published 100+ scientific papers and produced 100 unpublished proprietary technical reports. Dr. Qian is a fellow of the Canadian Academy of Engineering and a fellow of the International Society of Optics and Photonics Engineering (SPIE). He is an Associate Editor of Journal of Applied Remote Sensing. He is an adjunct professor at York University.
Dr Shen-En Qian
Canadian Space Agency
Read the Original
This page is a summary of: Optical Satellite Data Compression and Implementation, January 2013, SPIE,
DOI: 10.1117/3.1002297.
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