Cantitate/Preț
Produs

Satellite Data Compression

Editat de Bormin Huang
en Limba Engleză Paperback – 26 ian 2014
Satellite 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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 33354 lei  6-8 săpt.
  Springer – 26 ian 2014 33354 lei  6-8 săpt.
Hardback (1) 33999 lei  6-8 săpt.
  Springer – 24 noi 2011 33999 lei  6-8 săpt.

Preț: 33354 lei

Preț vechi: 41693 lei
-20% Nou

Puncte Express: 500

Preț estimativ în valută:
6383 6624$ 5335£

Carte tipărită la comandă

Livrare economică 15-29 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781493902439
ISBN-10: 1493902431
Pagini: 320
Ilustrații: X, 310 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2011
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States

Public țintă

Professional/practitioner

Cuprins

Development 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.

Caracteristici

The first book on satellite data compression 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 Covers onboard compression methodology and hardware developments in several space agencies Includes supplementary material: sn.pub/extras