| Summary: | 碩士 === 嶺東科技大學 === 資訊管理與應用研究所 === 101 === The reservoirs are generally constructed on the mountain area at Taiwan. The earthquake results in the soil distributed and typhoon will bring a huge amount of water to the reservoir zone. The movement of rock and soil of landslide into the reservoirs will produce soil deposit which influence seriously on the delivery of water. Accordingly, the landslide surrounding the reservoir will also dominate its life-time. The multi-scenario remote sensing data can effectively monitor the reservoirs. Recently, the Linear Discriminant Analysis (LDA) is a well-known method to classify image categories. However, few studies have been made to optimize the classification function. That is, the ancillary information is adopted easily by new technology. Unfortunately, the ancillary information requires to be examined to apply efficiently into the landslide decision system. The proposed method includes (a)Fuzzy-C-means + Particle Swam Optimization (FCM+PSO) can find the core factors (b)Self Organization Map (SOM) to construct the knowledge rule. Both of the classifier can approach about 84% of landslide image classification accuracy. Then the translation scheme of category amend is developed to enhance about 10% of accuracy.
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