000 03840nam a22004935i 4500
001 978-1-4614-1183-3
003 DE-He213
005 20140220083733.0
007 cr nn 008mamaa
008 111123s2011 xxu| s |||| 0|eng d
020 _a9781461411833
_9978-1-4614-1183-3
024 7 _a10.1007/978-1-4614-1183-3
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM075000
_2bisacsh
082 0 4 _a004.6
_223
100 1 _aHuang, Bormin.
_eeditor.
245 1 0 _aSatellite Data Compression
_h[electronic resource] /
_cedited by Bormin Huang.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aX, 310 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aDevelopment of on-board data compression technology at Canadian Space Agency -- CNES Studies for On-Board Compression of High-Resolution Satellite Images -- Low-Complexity Approaches for Lossless and Near-Lossless Hyperspectral Image Compression -- FPGA Design of Listless SPIHT for Onboard Image Compression -- Outlier-Resilient Entropy Coding -- Quality Issues for Compression of Hyperspectral Imagery Through Spectrally Adaptive DPCM -- Ultraspectral Sounder Data Compression by the Prediction-Based Lower Triangular Transform -- Lookup-Table Based Hyperspectral Data Compression -- Multiplierless Reversible Integer TDLT/KLT for Lossy-to-lossless Hyperspectral Image Compression -- Divide-and-conquer decorrelation for hyperspectral data compression -- Hyperspectral Image Compression Using Segmented Principal Component Analysis -- Fast Precomputed Vector Quantization with Optimal Bit Allocation for Lossless Compression of Ultraspectral Sounder Data -- Effects of Lossy Compression on Hyperspectral Classification.
520 _aSatellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data. A survey of recent advances in the fields of satellite communications, remote sensing and geographical information systems is included. Satellite Data Compression, contributed by leaders in this field, is the first book available on satellite data compression. It covers onboard compression methodology and hardware developments in several space agencies. Case studies are presented on recent advances in satellite data compression techniques via various prediction-based, lookup-table-based, transform-based, clustering-based, and projection-based approaches. This book provides valuable information on state-of-the-art satellite data compression technologies for professionals and students who are interested in this topic. 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.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aGeographical information systems.
650 0 _aAstronautics.
650 0 _aTelecommunication.
650 1 4 _aComputer Science.
650 2 4 _aComputer Communication Networks.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aGeographical Information Systems/Cartography.
650 2 4 _aAerospace Technology and Astronautics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461411826
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-1183-3
912 _aZDB-2-ENG
999 _c106284
_d106284