碩士 / 國立海洋大學 / 海洋科學系 / 87 / Using satellite to monitor features in ocean is more and more important in oceanography；A Synthetic Aperture Radar (SAR) can work day and night, the microwave signals also pass through clouds, smog, dust, etc. to provide the SAR its unique all-weather imaging capability. It''s a good tool for coastal watch. In this thesis, Wavelet analysis is used to detect the edge of oil slick, ice, ship wake, upwelling, internal wave, coastline and Kuroshio boundary, etc. in SAR images. It''s help to track and analysis further. In this thesis wavelet transform is used to detect the edges of a fractal image and a gray level gradually changed image to varify its ability and accuracy first, then it is used to extract the ocean features in the SAR images. The working procedures at present is semi-automatic. In the future, we hope to include the texture identification and build a SAR image database to develop an automatic ocean feature detect tool.
| Identifer | oai:union.ndltd.org:TW/087NTOU0276004 |
| Date | January 1999 |
| Creators | Jung Yang Hsu, 徐榮陽 |
| Contributors | Hsu Ming Kuwang, 許明光 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 67 |
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