| Summary: | 碩士 === 義守大學 === 資訊管理學系碩士班 === 95 === Modern techniques of satellite image acquisition have been of great advance lately, which provide a great amount of images with a higher resolution both in spatial and spectral resolution. However, the rate of utilizing the existed images has not yet been sufficient in comparison to the rate of obtaining them. Hence, issues in using automated method of linear feature extraction for replacing manual process have drawn a great deal of attentions in this area lately. The purpose of this study is to develop an integrated method for extracting linear features of oceanic internal waves from satellite imagery using spatial information techniques, which include: wavelet transform based de-noise, Multiscale Retinex (MSR), and linear feature extraction (LEF). To evaluate the performance of the integrated method, the extracted linear features will be vectorized and overlapped with the original image in the Geographic Information System (GIS) to investigate the position discrepancy between them and the true features’ boundary. The results show that the MSR method provides enhanced image with improved color contrast and brightness, which result in a better quality of extracted linear features. Finally, we evaluate the performance of feature extraction using both the Canny method and the Wavelet Transform Modulus Maxima (WTMM) method. It is shown that the Canny method is superior to the WTMM method in terms of visualization quality and positioning accuracy.
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