Hyperspectral Data Compression And Red Edge Indices: The Effect of Lossy Image Compression for Hyperspectral Data in Retrieving Red Edge Indices - Couverture souple

Alomari, Abdallah

 
9783845472225: Hyperspectral Data Compression And Red Edge Indices: The Effect of Lossy Image Compression for Hyperspectral Data in Retrieving Red Edge Indices
Couverture souple
ISBN 10 : 3845472227 ISBN 13 : 9783845472225
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

I graduated from the University of Jordan with a BSc in Computer Information Systems in 2006. After that i did my MSc in GIS and Remote Sensing from University Putra Malaysia 2008. Currently I am PhD student in the Computer Vision Lab at the Multimedia Department in University Putra Malaysia.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3845472227
ISBN 13 
9783845472225
Reliure
Broché
Nombre de pages
88
Coordonnées du fabricant
non disponible
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