Detecting the Tung-Sha atoll bathymetry by SPOT image

• Main Authors: Yao-Chung Wen, 溫耀宗
• Other Authors: Shih-Jen Huang
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/33271445037729924893

碩士 === 國立臺灣海洋大學 === 海洋環境資訊學系 === 94 === The purpose of this thesis is to using SPOT satellite data to detect the bathymetry around the Tung-Sha atoll. The in situ water depth data around the Tung-Sha Island to establish a relationship between optical radiance and water depth, especially in the shallow water, around the Tung-Sha atoll. The results show that the 20% error related to the in situ can be satisfied for more than 90% data points if the none classification is applied. While the 20% relative error can reach for more than 95% data point if the supervised classification is applied. Meanwhile, we also find that the supervised classification can get more accuracy to estimate water depth with standard deviation of 0.34 ~ 0.57m, which is better than 0.88m by the none classification method.