一种表征遥感图像深部层次信息的方法

A New Method to Estimate the Depth of Remote Sensing Information

介绍一种定量地表征遥感地质构造深部层次信息的方法 ,即利用重磁数据三维欧拉反褶积结果 ,叠加到遥感图像上 ,定量地、直接地分辨出遥感构造的深度。并应用到松辽盆地西部斜坡带 ,效果较好。

The penetrability of electromagnetic radiation is limited, generally the penetrability depth of the microwave is less than 5m, which is called 'skin depth'. However it is very important for us to know the depth of structure in remote sensing images. Generally it can be acquired by overlying the continuous contour of gravity and magnetic data on to remotely sensed images or integrating remotely sensed and gravitational and magnetic data. But this is qualitative and indirect method. A new method, Euler Deconvolution is introduced in the paper. The structure location, stretch and depth could be estimated by using Euler Deconvolution of geophysical data. And the depth of structure in remotely sensed images could be displayed by overlying the Euler Deconvolution results on to the remotely sensed images. The method was applied in the western slope of SongLiao Basin, which is quantitative and more efficient than other geophysical methods. And the depth of structure in remotely sensed images cannot be estimated except geophysical methods.