Heterology remote sensing image registration method

Abstract

The invention discloses a heterology remote sensing image registration method. According to the core idea, multi-scale matching is taken as a basis; straight line intersection points are used as elements; the point matching method of a joint Voronoi map and a spectrogram is used; iteration feature extraction and a matching policy are integrated; and the problems of heavy dependence on feature extraction, poor reliability, low accuracy and the like of the existing method are overcome. The method comprises the steps that multi-scale analysis is carried out on original images; straight line extraction and intersection point acquiring are carried out on the coarsest scale; the point matching method of the joint Voronoi map and the spectrogram is carried out on intersection point sets to acquire a homonymous point pair; whether a matching result is qualified is detected: if the matching result is qualified, going to the next step is carried out, otherwise self-adaptive parameter adjustment is carried out and straight line extraction and point set matching are carried out again; original transformation is carried out on the images to be registered, and straight line features are respectively extracted; homonymous straight line segments are searched, and a candidate homonymous point pair is acquired; a KNN map is used to acquire an accurate matched point pair; and a transformation parameter is solved. The method provided by the invention is mainly used for the registration of visible light, infrared, synthetic aperture radar (SAR) and other heterology remote sensing images.

Description

Technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a heterogeneous remote sensing image registration method, in particular to a heterogeneous remote sensing image registration method based on iterative line features and joint Voronoi diagram and spectrogram point matching. Background technique [0002] Image registration technology is a process of spatially aligning images taken in the same area at different times, different viewing angles, different sensors or different lighting conditions. Among them, the automatic registration of heterogeneous remote sensing images has always been a problem that needs to be solved in the field of remote sensing image processing, because the images of different sensors can reflect the different characteristics of the ground objects. For example, the optical image reflects the ground objects in the visible light and near-infrared wavelength range. Reflectance spectrum characteri...

AI Technical Summary

Problems solved by technology

However, there are two problems in the traditional spectral map point set matching method: (1) Sensitive to noise: noise usually comes from the process of image acquisition and feature extraction, which will bring deviation to the position of the point; (2) Point sensitivity: the existence of outlier points can easily interfere with the judgment of the correct matching relationship

Although successful heterogeneous image matching algorithms exist, they are usually image-specific and difficult to generalize

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