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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2010
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Online Access: | http://eprints.utem.edu.my/id/eprint/96/1/Quality-based_Spatial_Spectral_Image_Transformation.pdf http://eprints.utem.edu.my/id/eprint/96/ http://dx.doi.org/10.1109/ICSPS.2010.5555451 |
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my.utem.eprints.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 |
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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. |
format |
Conference or Workshop Item |
author |
Herman, N. S. Hussin, B. |
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Herman, N. S. Hussin, B. |
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Herman, N. S. |
title |
Quality-based Spatial/Spectral Image Transformation |
title_short |
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_sort |
quality-based spatial/spectral image transformation |
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2010 |
url |
http://eprints.utem.edu.my/id/eprint/96/1/Quality-based_Spatial_Spectral_Image_Transformation.pdf http://eprints.utem.edu.my/id/eprint/96/ http://dx.doi.org/10.1109/ICSPS.2010.5555451 |
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13.211869 |