Hyperspectral data compression / edited by Giovanni Motta, Francesco Rizzo, James A. Storer.
"Hyperspectral Data Compressionprovides 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...
I tiakina i:
| Ētahi atu kaituhi: | , , |
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| Hōputu: | iPukapuka |
| Reo: | English |
| I whakaputaina: |
New York :
Springer Science+Business Media,
[2006]
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| Ngā marau: | |
| Urunga tuihono: | Springer eBooks Connect to full text. |
| Whakarāpopototanga: | "Hyperspectral Data Compressionprovides 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."--Publisher's website. |
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| Whakaahuatanga ōkiko: | 1 online resource (xi, 417 pages) : illustrations |
| Rārangi puna kōrero: | Includes bibliographical references and index. |