Quality-based spatial/spectral image transformation

Remote sensing image plays a very important role for GIS services as one of its important data source. It's very large volume requirement may lead to latency during data transmission. Several alternative solutions are identified as the solution for the issue. This paper is intended to discuss t...

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Bibliographic Details
Published in2010 2nd International Conference on Signal Processing Systems Vol. 2; pp. V2-409 - V2-412
Main Authors Akbar, F, Suryana, N, Hussin, B
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2010
Subjects
Discrete cosine transforms
Geographic Information Systems
Hyperspectral imaging
Image coding
Image processing
Image quality
Principal component analysis
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Summary:Remote sensing image plays a very important role for GIS services as one of its important data source. It's very large volume requirement may lead to latency during data transmission. Several alternative solutions are identified as the solution for the issue. This paper is intended to discuss the effect of image compression technique to allow the reduction of the storage and bandwidth requirement at the same time maintaining the quality of the compressed image. An experiment has been performed towards several multispectral images to foresee the effectiveness of the proposed method. The ongoing study shows promising result especially in terms of storage and image quality.
ISBN:9781424468928
1424468922
DOI:10.1109/ICSPS.2010.5555451