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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.




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. 


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. 
Content:
Front Matter....Pages i-xi
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
Back Matter....Pages 407-417


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. 
Content:
Front Matter....Pages i-xi
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
Back Matter....Pages 407-417
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