Overview

This book provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.  Chapter 1 addresses compression architecture and reviews and compares compression methods.  Chapter 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original).  Chapter 5 (contributed by the editors) describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification.  Chapter 6 deals with near lossless compression while Chapter 7 considers lossy techniques constrained by almost perfect classification.  Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image.  Chapter 13 examines artifacts that can arise from lossy compression.

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9786610609376

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