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Open AccessArticle

The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands

1
Department of Information Technology, Ling Tung University, Taichung 40851, Taiwan
2
Department of Urban Planning and Spatial Information, Feng Chia University, Taichung 40724, Taiwan
*
Author to whom correspondence should be addressed.
Water 2019, 11(11), 2414; https://doi.org/10.3390/w11112414
Received: 24 September 2019 / Revised: 12 November 2019 / Accepted: 12 November 2019 / Published: 17 November 2019
(This article belongs to the Special Issue Soil–Water Conservation, Erosion, and Landslide)
Landslides of Taiwan occur frequently in high mountain areas. Soil disturbance causes by the earthquake and heavy rainfall of the typhoon seasons often produced the earth and rock to landslide in the upper reaches of the catchment area. Therefore, the landslide near the hillside has an influence on the catchment area. The hyperspectral images are effectively used to monitor the landslide area with the spectral analysis. However, it is rarely studied how to interpret it in the image of the landslide. If there are no elevation data on the slope disaster, it is quite difficult to identify the landslide zone and the bareland area. More specifically, this study used a series of spectrum analysis to identify the difference between them. Therefore, this study conducted a spectrum analysis for the classification of the landslide, bareland, and vegetation area in the mountain area of NanXi District, Tainan City. On the other hand, this study used the following parallel study on Support Vector Machine (SVM) for error matrix and thematic map for comparison. The study simultaneously compared the differences between them. The spectral similarity analysis reaches 85% for testing data, and the SVM approach has 98.3%. View Full-Text
Keywords: landslide; image classification; spectrum similarity analysis landslide; image classification; spectrum similarity analysis
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Wan, S.; Lei, T.C.; Ma, H.L.; Cheng, R.W. The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands. Water 2019, 11, 2414.

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