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Your search keyword '"Lei, Tsu-Chiang"' showing total 23 results
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23 results on '"Lei, Tsu-Chiang"'

2. Multi-criteria Path Planning for Disaster Relief: An Example Using the Flood Risk Map of Shalu District, Taiwan

Author

Qiu, Sheng-Wei, Chen, Yi-Chung, Lei, Tsu-Chiang, Wang, Hsin-Ping, Chen, Hsi-Min, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio, Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Akagi, Masato, editor, Nguyen, Thanh-Thuy, editor, Vu, Duc-Thai, editor, Phung, Trung-Nghia, editor, and Huynh, Van-Nam, editor

Published
2017
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22. The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands.

Author

Wan, Shiuan, Lei, Tsu Chiang, Ma, Hong Lin, and Cheng, Ru Wen

Subjects
LANDSLIDES, LANDSLIDE hazard analysis, SPECTRUM analysis, SUPPORT vector machines, WATERSHEDS, THEMATIC maps, MOUNTAIN plants
Abstract

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%. [ABSTRACT FROM AUTHOR]

Published
2019
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