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 the...

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Main Authors: Herman, N. S., Hussin, B.
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/96/
http://eprints.utem.edu.my/id/eprint/96/1/Quality-based_Spatial_Spectral_Image_Transformation.pdf
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author Herman, N. S.
Hussin, B.
author_facet Herman, N. S.
Hussin, B.
author_sort Herman, N. S.
building UTeM Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T19:45:36Z
format Conference or Workshop Item
id utem-96
institution Universiti Teknikal Malaysia Melaka
institution_category Local University
language English
last_indexed 2025-11-15T19:45:36Z
publishDate 2010
recordtype eprints
repository_type Digital Repository
spelling utem-962015-05-28T02:16:44Z http://eprints.utem.edu.my/id/eprint/96/ Quality-based Spatial/Spectral Image Transformation Herman, N. S. Hussin, B. Q Science (General) 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. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/96/1/Quality-based_Spatial_Spectral_Image_Transformation.pdf Herman, N. S. and Hussin, B. (2010) Quality-based Spatial/Spectral Image Transformation. In: 2010 2nd International Conference on Signal Processing Systems (ICSPS), 5-7 July 2010 , Dalian, China. http://dx.doi.org/10.1109/ICSPS.2010.5555451
spellingShingle Q Science (General)
Herman, N. S.
Hussin, B.
Quality-based Spatial/Spectral Image Transformation
title Quality-based Spatial/Spectral Image Transformation
title_full Quality-based Spatial/Spectral Image Transformation
title_fullStr Quality-based Spatial/Spectral Image Transformation
title_full_unstemmed Quality-based Spatial/Spectral Image Transformation
title_short Quality-based Spatial/Spectral Image Transformation
title_sort quality-based spatial/spectral image transformation
topic Q Science (General)
url http://eprints.utem.edu.my/id/eprint/96/
http://eprints.utem.edu.my/id/eprint/96/
http://eprints.utem.edu.my/id/eprint/96/1/Quality-based_Spatial_Spectral_Image_Transformation.pdf