A Line Feature Matching Method for Oblique Imagery Constrained by View Invariant Local Regions

Abstract

The invention relates to a straight-line feature matching method of an oblique image constrained by a constant local region of an angle of view. It includes the following steps in turn: extracting line features from the reference image and the image to be matched respectively, and calculating the feature saliency of each line feature; The feature area of ​​the feature; for each line feature, calculate the phase consistency value and direction in the feature area, and construct a phase consistency feature descriptor for each line feature; according to the feature significance of each line feature, the significance value The largest top t% linear features are regarded as significant linear features, and the remaining linear features are regarded as non-significant linear features; the significant linear features are matched; the linear features that are not successfully matched in the significant linear features are classified into non-significant linear features; respectively in the reference On the image and the image to be matched, the significant linear features that are successfully matched are used as the clustering center, and the non-significant linear features are clustered into the significant linear feature category; the non-exhaustive search method is used to match the non-significant linear features.

Description

technical field [0001] The invention relates to the related technical field of image matching in remote sensing image processing, in particular to a straight line feature matching method of an oblique image with constant local area constraints of an angle of view. Background technique [0002] Oblique photogrammetry can simultaneously obtain high-resolution images of the top surface and facade of ground objects, and has been widely used in automatic reconstruction and texture mapping of 3D models of urban buildings, urban planning and monitoring, emergency response, cadastral data verification and update, etc. in the field. Image matching is one of the key scientific issues in oblique photogrammetry data processing. It is the foundation and core of image registration, stitching, 3D reconstruction, target detection and tracking, etc. It has important application value in military and civilian fields. Compared with traditional remote sensing images, there is a large degree of...

AI Technical Summary

Problems solved by technology

However, for oblique images with large viewing angle changes, the matching between line feature intersections is still a difficult problem, which limits the application of such methods in line feature matching of oblique images.

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