Automatic SAR (synthetic-aperture radar) image rectification method

An automatic registration and image technology, applied in the field of signal processing, can solve the problem that the SIFT algorithm cannot solve the different positions of similar features

Inactive Publication Date: 2013-06-26
CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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Problems solved by technology

The scale-invariant feature transformation SIFT algorithm is a relatively successful automatic registration algorithm, but

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  • Automatic SAR (synthetic-aperture radar) image rectification method
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  • Automatic SAR (synthetic-aperture radar) image rectification method

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing, a kind of SAR image automatic registration method that the present invention proposes is described in detail:

[0036] A SAR image automatic registration method, the steps are as follows:

[0037] Step A, SIFT feature matching

[0038] The principle of the SIFT method is a method of extracting local features of an image, using a multi-scale method to describe the gray level change of the neighborhood as a vector with certain invariant properties, and using the vector point as a SIFT feature;

[0039] Step A-1, detection of feature points and determination of their precise positions

[0040] First, use the Gaussian difference kernel to convolve the image to obtain the Gaussian difference DoG image, and determine the position and scale of the extreme point by comparing the gray value of the pixel in the DoG image; then use the stability measure to delete the unstable feature point and finally determine the feature point se...

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Abstract

The invention provides an automatic SAR (synthetic-aperture radar) image rectification method. In the method, the problems encountered when feature points are selected by SIFT (scale-invariant feature transform) rectifying points under the condition of SAR image complex landforms are analyzed, the feature points are combined with the Delaunay triangulation network and coded, and triangle similarity of coded feature points are judged through automatic threshold values according to the Delaunay triangularization principle. Since SIFT rectification and the Delaunay triangulation network have robustness to geometric changes such as rotation, wrong rectifying points rectified by the SIFT can be filtered by the SIFT-Delaunay encryption algorithm according to the similarity among triangles, and accurate rectification can be achieved.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a SAR image automatic registration method. Background technique [0002] SAR image registration is the process of superimposing two or more images of the same scene acquired at different time periods, different viewing angles, or under different sensors, that is, by looking for a spatial transformation, so that the two images represent the corresponding objects of the same target. The points are consistent in terms of spatial location. Because image registration technology is widely used in many fields such as transformation detection, image data fusion and object recognition, it is one of the basic tasks of image processing, so it has been widely studied. [0003] There are generally two methods for image registration: region-based methods and feature-based image registration. The principle of the region-based method is to complete the registration by com...

Claims

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Application Information

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IPC IPC(8): G06T7/00G01S13/90
Inventor 尹奎英金林李成常文胜
Owner CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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