Satellite Data Compression, by Bormin Huang (ed.), has just been published by Springer. A first book on satellite data compression, it presents case studies on recent advances in satellite data compression techniques via various prediction-based, lookup-table-based, transform-based, clustering-based, and projection-based approaches.
Satellite Data Compression is designed for a professional audience comprised of computer scientists working in satellite communications, sensor system design, remote sensing, data receiving, airborne imaging and geographical information systems (GIS). Advanced-level students and academic researchers will also benefit from this book.
The Schwerdtfeger Library has ordered a copy of this book.