Hyperspectral Data Compression And Red Edge Indices

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2011, 2011

3845472227 / 9783845472225

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This item is printed on demand - Print on Demand Titel. Neuware -Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.…

Seller Inventory # 9783845472225

Title
Hyperspectral Data Compression And Red Edge Indices
Author
Abdallah Alomari
Publisher
LAP LAMBERT Academic Publishing Sep 2011
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3845472227
ISBN 13
9783845472225
Item weight
149 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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