Satellite Data Compression
Herausgegeben:Huang, Bormin
Satellite Data Compression
Herausgegeben:Huang, Bormin
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Satellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data. Readers will find a survey of recent advances in the fields of satellite communications, remote sensing and geographical information systems.
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Satellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data. Readers will find a survey of recent advances in the fields of satellite communications, remote sensing and geographical information systems.
Produktdetails
- Produktdetails
- Verlag: Springer / Springer New York / Springer, Berlin
- Artikelnr. des Verlages: 978-1-4939-0243-9
- 2011
- Seitenzahl: 320
- Erscheinungstermin: 26. Januar 2014
- Englisch
- Abmessung: 235mm x 155mm x 18mm
- Gewicht: 488g
- ISBN-13: 9781493902439
- ISBN-10: 1493902431
- Artikelnr.: 40095835
- Verlag: Springer / Springer New York / Springer, Berlin
- Artikelnr. des Verlages: 978-1-4939-0243-9
- 2011
- Seitenzahl: 320
- Erscheinungstermin: 26. Januar 2014
- Englisch
- Abmessung: 235mm x 155mm x 18mm
- Gewicht: 488g
- ISBN-13: 9781493902439
- ISBN-10: 1493902431
- Artikelnr.: 40095835
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.
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.
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.
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.