Multi-temporal remote sensing image change detection method based on adaptive chi-squared transform (CST)
A technology of change detection and remote sensing imagery, applied in image enhancement, image analysis, image data processing and other directions, it can solve the problems of noise interference and complex background information, and achieve the effect of good versatility
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[0053] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0054] Such as figure 1 As shown, a multi-temporal remote sensing image change detection method based on adaptive chi-square transform includes the following steps:
[0055] Step 1: Input two high-resolution optical remote sensing images of the same area and different time phases, which are marked as: X 1 And X 2 .
[0056] Step 2: Pair X 1 And X 2 Image registration is divided into two steps: rough geometric correction and precise geometric correction. For rough geometric correction, use the relevant functions in the ENVI4.8 software to realize the specific operation steps:
[0057] (1) Display the reference image and the image to be corrected;
[0058] (2) Collect ground control points GCPs, GCPs should be evenly distributed in the entire image, and the number of GCPs should be at least 9 or more;
[0059] (3) Calculate the mean square error;
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