Heterogenous remote sensing image registration method based on structural similarity
A technology of structural similarity and remote sensing images, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of difficult to achieve registration effect, algorithm failure, etc., to achieve the effect of improving similarity and strong robustness
Pending Publication Date: 2021-11-12
XIDIAN UNIV
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Currently commonly used feature extraction algorithms include Scale-Invariant Feature Transform (SIFT), Speeded-Up Robust Features (SURF), ORB (Oriented FAST and Rotated BRIEF) and some improved SIFT algorithms. However, these methods usually use intensity information or gradient information for feature detection and description. Due to a certain degree of radiation distortion in heterogeneous images, these algorithms will fail, and it is difficult to obtain stable registration results.
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[0025] Embodiments of the present invention will be described in detail below in conjunction with examples, but those skilled in the art will understand that the following examples are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention.
[0026] refer to figure 1 , a kind of heterogeneous remote sensing image registration method based on structural similarity provided by the present invention, comprises the following steps:
[0027] Step 1. Acquire the reference image and the image to be registered in the same area, and perform the phase consistency measurement based on the Log-Gabor filter on the reference image and the image to be registered respectively, and obtain the different angles corresponding to the reference image and the image to be registered. Phase consistency information at the scale;
[0028] Wherein, the reference image and the image to be registered are remote sensing images, and the ima...
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The invention belongs to the technical field of remote sensing images, and discloses a heterogeneous remote sensing image registration method based on structural similarity. According to the method, phase consistency information of an image is used for replacing intensity information and gradient information of the image for feature point detection, and a mixed feature descriptor composed of maximum index maps of phase consistency amplitudes of a reference image and a real-time image and phase consistency local self-similarity is used for feature description. Moreover, the feature point detection process of the method does not depend on geographic information, and has good robustness for nonlinear radiation distortion.
Description
technical field [0001] The invention relates to the technical field of remote sensing image registration, in particular to a method for registration of heterogeneous remote sensing images based on structural similarity. Background technique [0002] Image registration technology is an important part of the image processing field, and it is widely used in military and civilian fields such as projectile positioning, aviation guidance, computer vision, pattern recognition, remote sensing technology, medicine, and climatology. The registration technology of heterogeneous images can make up for the deficiency of single sensor image in image registration technology, and it is a research hotspot in the field of image registration technology. Due to the non-linear grayscale difference and radiation intensity difference between heterogeneous images, image registration methods based on grayscale information are often not suitable for heterogeneous image registration. Structural featu...
Claims
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Login to View More IPC IPC(8): G06T7/33G06T7/13G06K9/62
CPCG06T7/337G06T7/13G06T2207/20064G06T2207/20056G06T2207/10032G06F18/22
Inventor 梁毅刘倩孙昆
Owner XIDIAN UNIV