Akbar, F. and Herman, N. S. and Hussin, B. (2011) Effect of spectral/spatial transformation on remote sensing image for NDVI-based drought detection analysis. In: International Conference on Graphic and Image Processing (ICGIP 2011), 1 October 2011, Cairo, Egypt .
Full text not available from this repository.Abstract
Remote sensing image have been known to be an important part for environmental analysis. Drought early warning system is one of the few example of remote sensing image applications. One of the oldest tool in remote sensing studies, NDVI is often used for drought detection. Although very essential, remote sensing image requires large storage requirement. A large image data may cause network congestion which certainly affects the aptitude of the drought detection system. An image compression may be used as an approach to this issue. However, this would lead to another issue, image quality. This article emphasize on the effect of image compression through transformation towards remote sensing image. Analysis is conducted through NDVI pixel threshold as well as other complimentary error metric method. Hybrid methods of transformation are presented here for the image transformation process. The experiments performed on test images shows that hybrid transformation is capable of reducing image data and preserving sufficient quality.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Information and Communication Technology > Department of Software Engineeering |
| Depositing User: | Burairah Hussin |
| Date Deposited: | 29 Nov 2011 04:57 |
| Last Modified: | 29 Nov 2011 04:57 |
| URI: | http://eprints.utem.edu.my/id/eprint/170 |
| Statistic Details: | View Download Statistic |
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