Hyperspectral Data Compression

Hyperspectral Data Compression 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. Chapters 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. Hyperspectral Data Compression Presents The Most Recent Results In The Field Of Compression Of Remote Sensing 3d Data, With A Focus On Multispectral And Hyperspectral Imagery. This Book Is Essential For Researchers Working Across Related Fields Including: Multi-dimensional Data Compression, Multispectral And Hyperspectral Data Archives, Remote Sensing, Scientific Image Processing, Military And Aerospace Image Processing, Image Segmentation, Image Classification, And Target Detection. An Architecture For The Compression Of Hyperspectral Imagery -- Lossless Predictive Compression Of Hyperspectral Images -- Lossless Hyperspectral Image Compression Via Linear Prediction -- Lossless Compression Of Ultraspectral Sounder Data -- Locally Optimal Partitioned Vector Quantization Of Hyperspectral Data -- Near-lossless Compression Of Hyperspectral Imagery Through Crisp/fuzzy Adaptive Dpcm -- Joint Classification And Compression Of Hyperspectral Images -- Predictive Coding Of Hyperspectral Images -- Coding Of Hyperspectral Imagery With Trellis-coded Quantization -- Three-dimensional Wavelet-based Compression Of Hyperspectral Images -- Spectral/spatial Hyperspectral Image Compression -- Compression Of Earth Science Data With Jpeg2000 -- Spectral Ringing Artifacts In Hyperspectral Image Data Compression. Edited By Giovanni Motta, Francesco Rizzo, James A. Storer. An Architecture for the Compression of Hyperspectral Imagery....Pages 1-34 Lossless Predictive Compression of Hyperspectral Images....Pages 35-55 Lossless Hyperspectral Image Compression via Linear Prediction....Pages 57-74 Lossless Compression of Ultraspectral Sounder Data....Pages 75-105 Locally Optimal Partitioned Vector Quantization of Hyperspectral Data....Pages 107-146 Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM....Pages 147-177 Joint Classification and Compression of Hyperspectral Images....Pages 178-196 Predictive Coding of Hyperspectral Images....Pages 197-231 Coding of Hyperspectral Imagery with Trellis-Coded Quantization....Pages 233-272 Three-Dimensional Wavelet-Based Compression of Hyperspectral Images....Pages 273-308 Spectral/Spatial Hyperspectral Image Compression....Pages 309-346 Compression of Earth Science Data with JPEG2000....Pages 347-378 Spectral Ringing Artifacts in Hyperspectral Image Data Compression....Pages 379-405