Method for automatically eliminating wrongly-matched registration points in remote sensing image
A remote sensing image, error matching technology, applied in the field of remote sensing image processing, can solve the problems of orthorectification error, easy to appear a large number, difficult to obtain, etc., to achieve the effect of mismatching feature point pairs
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[0020] The present invention will be further described below with reference to the drawings and embodiments.
[0021] A remote sensing image automatic registration point mismatch elimination method, such as figure 2 As shown, including the following steps:
[0022] Step 1. Image acquisition: use Quick Bird or IKONOS sensors to acquire high spatial resolution images A and B in different time phases;
[0023] Step 2: Extract feature points and establish the initial matching relationship: use SIFT or SURF methods to extract feature points in image A and image B, respectively, to obtain a set of feature points {PixA i |i=1, 2,...M} and {PixB j |j=1, 2,...N}, use the FlannBasedMatcher method for feature point matching, and get the initial set of points with the same name U relation ={PixA i , PixB i |i=1,2,...min(M,N)}; then U relation The feature points in A are the set of feature points in the image U A ={PixA i |i=1,2,...min(M,N)}, and the feature point set U in the B image B ={PixB i...
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