Description
Book SynopsisSatellite Data Compression covers recent progress in compression techniques for multispectral, hyperspectral and ultra spectral data.
Table of ContentsDevelopment 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.
