Satellite Data Compression
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, co...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2011. |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Satellite data compression, New York, NY, Springer Science+Business Media, LLC, 2011, 1 vol. (309 p.), 978-1-4614-1182-6 • Satellite Data Compression, Texte imprimé, 9781493902439 • Satellite Data Compression, Texte imprimé, 9781461411840 |
İçindekiler:
- 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.