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Více informací o knize Hyperspectral Data Compression

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• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Earth sciences, geography, environment, planning Geography Geographical information systems (GIS) & remote sensing

• Plný název: Hyperspectral Data Compression
• Autor: Giovanni Motta, Francesco P. Rizzo, James A. Storer
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 418
• EAN: 9780387285795
• ISBN: 0387285792
• ID: 01381483
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 1720 g
• Rozměry: 235 × 156 × 30 mm
• Datum vydání: 17. November 2005

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