TM VNIRによる画像強調とリニアメント解析との相関

抄録

This study is aimed at the analysis of the earth's surface character and data processing methods on the extraction of Lineaments from TM VNIR data taken by Landsat 5. It is generally understood that to interpret the geological structure of the target area is the basic issue for data analysis to explore the oil and gas using remotely sensed data. Earth's surface topography mostly reflects the structural motion of the crust and indicating the geology. Lineament patterns are the most significant features as well as geological information which normaly behave as the index to indicate the historical results of structural motion. Image enhancement of satellite remote sensing data is one of the most effective method to discriminate the lineaments which indicate the surface topographic features reflecting sub-surface structure.
In this paper, three Visual Near Infrared region of Landsat TM data with different types of surface character, vegetated mountainous, vegetated flat and mountainous rock exposures, were chosen and three types of digital filter were applied in order to enhance the images to extract and analyze the lineaments from each images. Types of the filters were selected by the points of enhancement and preservation of the edges which contain in the imagery. Lineaments were extracted using 12 processed images and lineament patterns were quantitatively evaluated. As the results, the number of total cumulative length of edge preserved images of median filter are in maximum. Median filter images preserve the lineament pattern which recognized in non-enhanced images, but high frequency component enhancement images were not preserved. This results suggest that using median filter is one of the effective method to interpret remote sensing data.