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遥感学报  2001 

A New Method to Estimate the Depth of Remote Sensing Information
一种表征遥感图像深部层次信息的方法

Keywords: remote sensing information,Euler deconvolution,structure,geophysics
遥感图像
,三维欧拉反褶积,构造层次,地质构造,深部层次信息

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Abstract:

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.

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