Universiti Teknologi Malaysia Institutional Repository

Multi-levels classification for tropical tree species identification using in-situ hyperspectral data

Lau, Alvin Meng Shin and Chew, Wei Chuang and Lawal, M. (2015) Multi-levels classification for tropical tree species identification using in-situ hyperspectral data. In: IEEE Workshop on Geoscience and Remote Sensing 2015, 16-17 Nov, 2015, Kuala Lumpur, Malaysia.

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Official URL: http://radar.com.my/iwgrs2015/regform/iwgrs2015-ca...

Abstract

Multi-Levels classification process has been applied to handle a large number of tropical forest tree species using in-situ Hyperspectral data. Improvement in overall classification accuracy has been achieved with Support Vector Machine and Maximum Likelihood Classifier in identifying twenty tropical forest tree species. The improvement in accuracy for the both classifiers about 5% from the first level classification to the third level classification process in this study. The findings have proven the effectiveness of this multi- levels classification procedure in handling the issue of high diversity is tropical forest environmental during tree species mapping.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:tree species identification, in-situ hyperspectral
Subjects:S Agriculture > SD Forestry
Divisions:Geoinformation and Real Estate
ID Code:62225
Deposited By: Widya Wahid
Deposited On:14 May 2017 11:28
Last Modified:14 May 2017 11:28

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