충적층의 정밀 선구조 추출을 위한 위성영상과 GIS 기법의 활용에 관한 연구

Abstract

We have successfully developed a more effective algorithm to extract the lineament in the area covered by wide all narrow range of brightness in the Landsat TM image, while the currently used algorithm is limited to the mountaino consisting of all us areas. In the new algorithm, flat areas mainly vial deposits were selected using the Local Enhancement from the Digital evation Model (DEM). The aspect values were obtained by 3x3 moving windowing of Zevenbergen & Thorno's Method, and then the slopes of the study were determined using the aspect vales. After the lineament factors in the all deposits were revealed by comparing the threshold values, the first rank lineament under the alluvial deposits were extracted sing the Hough transform. In order to extract the final lineament, the lowest points under the alluvial deposits in a given topographic section perpendicular to the first rank lineament were determined through the spline interpolation, and then the final lineament were chosen through Ho transform using the lowest points. The algorithm developed in this study enables ugh the areas covered by much larger alluvial deposits compared with the rest to observe a clearer lineament in Its extracted using the conventional existing algorithm. There exists, however, some differences between the first rank lineament, obtained using the aspect and the slope, and the final lineament. This study shows that the new algorithm more effectively extracts the lineament in the area covered with wide alluvial deposits than in the areas of converging slope, areas with narrow alluvial deposits or valleys.