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Classification of TiungSAT-1 MSEIS Data for Land Cover Mapping with Hyperspectral Analysis Approach

Lau, Alvin Meng Shin and Hashim, Mazlan (2003) Classification of TiungSAT-1 MSEIS Data for Land Cover Mapping with Hyperspectral Analysis Approach. In: TiungSAT-1: Data Applications. Astronautic Technology (M) Sdn. Bhd., Bukit Jalil, Kuala Lumpur, pp. 50-60. ISBN 983-41363-0-7

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Official URL: https://core.ac.uk/display/11778687

Abstract

The low to medium spatial resolution satellite data can still be utilized to meet the requirement for a certain level of land cover mapping. However, the land cover classifications of assigning pixel-by-pixel basic to specific land cover classes have been known to be a problematic phenomenon that limits the accuracy of classification. This paper examines the result of utilizing the hyperspectral approach as a recent alternative solution to the above problem to investigate whether or not the sensitivity allowed in the latter can increase the classification accuracy. Using TiungSAT-1 MSEIS data as input, comparative analysis were also performed with classical Maximum Likelihood classification. The results of this study clearly indicate that hyperspectral analysis can improve classification accuracy of multi-spectral data, especially when the mixed pixels are of great concern.

Item Type:Book Section
Uncontrolled Keywords:TuingSAT-1, Land Cover Mapping, Hyperspectral Analysis, Remote Sensing
Subjects:Q Science > Q Science (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions:Geoinformation Science And Engineering (Formerly known)
ID Code:2126
Deposited By: Wan Hazli Wan Kadir
Deposited On:26 Mar 2007 01:58
Last Modified:07 Sep 2017 04:26

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