Hyperspectral Data Compression
Contributor(s): Motta, Giovanni [editor.] | Rizzo, Francesco [editor.] | Storer, James A [editor.] | SpringerLink (Online service).
Material type:![materialTypeLabel](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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PK Kelkar Library, IIT Kanpur | Available | EBK143 |
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.
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. .
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