Multi-source remote sensing image feature matching method based on directional phase consistency

A remote sensing image and feature matching technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficulty in matching heterogeneous remote sensing images, and achieve the effect of reducing the amount of calculation, high efficiency, and overcoming differences in scale and rotation.

Active Publication Date: 2019-03-26
WUHAN UNIV
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Problems solved by technology

[0004] The problem to be solved by the present invention is to propose a multi-source remote sensing image matching method based on the direction phase consistency energy comb

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  • Multi-source remote sensing image feature matching method based on directional phase consistency
  • Multi-source remote sensing image feature matching method based on directional phase consistency
  • Multi-source remote sensing image feature matching method based on directional phase consistency

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Embodiment Construction

[0026] The specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0027] The present invention proposes a multi-source remote sensing image feature matching method based on directional phase consistency, including pre-correcting the image before matching; in the feature point extraction process, only the reference image (reference image) is divided into blocks and features Point extraction; calculation of phase coherence energy maps in all directions; construction of feature vectors of feature points; image matching through sliding window search and correlation coefficient to determine the same name points; eliminating wrong matching points.

[0028] see figure 1 The flow of the multi-source remote sensing image feature matching method based on direction phase consistency provided by the embodiment includes the following steps:

[0029] Step 1. Pre-correct the reference and target images...

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Abstract

The invention provides a multi-source remote sensing image feature matching method based on directional phase consistency, and the method achieves the high-precision matching of multi-source remote sensing images based on the directional phase consistency, and comprises the steps: carrying out the image ortho-rectification of a reference image and a target image; Carrying out partitioning and feature point extraction on the reference image; Respectively calculating direction phase consistency energy diagrams of the reference image and the target image in multiple directions to obtain a direction phase consistency vector of each pixel point; Constructing feature description vectors of the feature points based on dense combination of the direction phase consistency vectors; Image matching iscarried out, gross error elimination is carried out, and wrong matching points are removed. The invention provides an effective multi-source remote sensing image matching method, reliable and high-precision homonymous points can be obtained among images of multiple sources, and practice shows that the method is feasible and effective, and the matching process is high in efficiency and reliable inprecision.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, in particular to a multi-source remote sensing image feature matching method based on direction phase consistency. Background technique [0002] Image matching is the process of identifying points with the same name between two or more images through a certain matching algorithm. It is an important early step in image registration, image fusion, target recognition and change detection. In the field of remote sensing, image matching can be divided into two types, one is connection point matching, which is used to obtain the same-named image points between two or more images with a certain degree of overlap, according to the image point coordinates and a certain mathematical model Establish the adjustment equation, modify the imaging model parameters of the image (such as RPC model coefficients and strict imaging model coefficients), realize the registration between images, and improv...

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Application Information

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IPC IPC(8): G06T7/33
CPCG06T7/33
Inventor 杨宇辉李欣杨博
Owner WUHAN UNIV
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