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Point matching method for remote sensing images

A remote sensing image, point matching technology, applied in the field of remote sensing image processing

Active Publication Date: 2015-07-08
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the gray information of the remote sensing images before and after the disaster changes greatly, the global structure composed of correct matching points is still similar

Method used

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  • Point matching method for remote sensing images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] Example 1: Different spectral remote sensing images

[0067] 15 pairs of remote sensing images with different spectra are used, and the error matching ratio is set at 5%-95%. Matching examples and precision results such as Figure 7 , Figure 8 shown. Figure 7 In (b), (c), (d), and (e), the solid line connection is correct matching, and the dotted line connection is wrong matching. By comparing the present invention with other methods, it can be seen that the present method has achieved the highest precision in terms of Precision, recall and RMSE.

Embodiment 2

[0068] Example 2: Remote sensing images before and after disasters

[0069] 15 pairs of remote sensing images before and after the disaster are used, and the error matching ratio is set at 5%-95%. Matching examples and precision results such as Figure 9 , Figure 10 shown. Figure 9 In (b)(c)(d)(e) the solid line connection is the correct match, and the dotted line connection is the wrong match.

[0070] Through comparative experiments, it can be proved that the method of the present invention has the best performance in terms of accuracy index, especially when the proportion of correct matching is small.

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Abstract

The invention discloses a point matching method for remote sensing images. The point matching method for the remote sensing images is used for selecting a correct point matching set in initial matching point sets of the remote sensing images with large background changes, and the similarity of overall structures formed by correct matching points in the two images is applied. The point matching method comprises the steps that firstly, any three point pairs are selected to form many corresponding triangular pairs, the difference values between corresponding angles and the corresponding length ratios of any two triangular pairs are calculated, the space rotation sequences of the three peaks of the triangular pairs relative to a reference point are compared, and the triangular pairs meeting similarity conditions are selected; secondly, the appearance frequency of each point pair is calculated among the similar triangular pairs, a histogram is established, threshold values are set, and the points with the frequencies being smaller than one threshold value are deleted; finally, mismatching points with similar coordinates are deleted through a space consistency measurement method. By the adoption of the point matching method, the point matching precision of the remote sensing images is improved, and the matching precision of the remote sensing images is also improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a point matching method of remote sensing images. Background technique [0002] Image registration is one of the most basic techniques in image processing, and it has been widely used in fields such as medicine, pattern recognition, remote sensing and computer vision. Registration is to align different images so that all the features can be expressed using the same coordinate system. Feature matching is the most important link in image registration. If there are too many mismatches in the feature matching set, wrong transformation parameters will be generated. Therefore a robust and accurate feature matching method is necessary. Most of the currently used feature matching methods are point matching methods. Point matching methods are mainly divided into two types: 1) matching using local gray information; 2) matching using local neighborhood structure o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 江洁史晓龙
Owner BEIHANG UNIV