Title :
Quality-based spatial/spectral image transformation
Author :
Akbar, Fikri ; Suryana, Nanna ; Hussin, Burairah
Author_Institution :
Fac. of Inf. Technol. & Commun., Univ. Teknikal Malaysia Melaka (UTeM), Ayer Keroh, Malaysia
Abstract :
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.
Keywords :
data communication; data compression; geographic information systems; image coding; remote sensing; GIS services; data transmission; image compression; image quality; multispectral images; quality-based spatial/spectral image transformation; remote sensing image; Discrete cosine transforms; Geographic Information Systems; Hyperspectral imaging; Image coding; Principal component analysis; Image coding; Image processing; Image quality;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555451
