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

Alomari, Abdallah

Softcover

ISBN 10: 3845472227 ISBN 13: 9783845472225

Publisher: 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.

About this title

About the Author

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.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2011
• ISBN 10: 3845472227
• ISBN 13: 9783845472225
• Binding: Paperback
• Language: English
• Number of pages: 88