运用Radarsat与ETM数据融合探测隐伏断裂

Detecting the Shallow-buried Fault by Radarsat and ETM

通过对星载雷达影像的去噪处理 ,及对ETM影像进行彩色合成、增强处理和HSV融合 ,然后再将二者进行几何校正、乘积变换 ,得到新影像。所得到的新的影像在探测隐伏断裂方面 ,与单独利用星载雷达影像或单独利用ETM影像相比 ,具有一定的优势 ,并利用该方法 ,对北京市前门隐伏断裂进行了研究。

By combination of Radarsat image and ETM image, this article illustrates a new method to detect the shallow-buried faults. The Radarsat image and ETM image used in the analysis must be geometrically corrected before using. After speckle suppression of the Radarsat image and color synthesis, resolution mergence of the ETM image, multiply the two images of the same region to form a new image. The new image from Radarsat image and ETM image is superior to the original ones for detection of the shallow-buried faults. The shallow-buried Qianmen Fault is mapped out by this method.