SAR (Synthetic Aperture Radar) image registration method and device based on multi-feature constraint and medium

Abstract

The embodiment of the invention discloses an SAR (Synthetic Aperture Radar) image registration method and device based on multi-feature constraint and a medium. The method comprises the following steps: extracting a ratio gradient map and a phase consistency feature map of a reference image and a to-be-registered image; determining key points of the reference image and the image to be registered according to the ratio gradient map and the phase consistency feature map; respectively extracting depth features of neighborhood image blocks around key points of the reference image and the image to be registered through a trained twin dense connection network; according to the matching condition of the depth features, an image registration result is predicted, and the image registration result comprises a matching key point pair of the reference image and the image to be registered. According to the embodiment of the invention, the registration precision and registration efficiency of the SAR image are improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of image registration, and in particular to a SAR image registration method, device and medium based on multi-feature constraints. Background technique [0002] Synthetic Aperture Radar (SAR) is an active microwave sensor whose imaging is not affected by light and weather, and has high light and seasonal stability. In the process of SAR image processing, it is often necessary to analyze and compare multiple images obtained in different periods of the same target area, such as change detection, information fusion, 3D reconstruction and map correction. A prerequisite for this type of task is to transform multiple images into the same coordinate system. One of the images is used as a reference image and a relative coordinate system is established, and other images to be registered are transformed into the coordinate system of the reference image through coordinate transformation. This...

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Problems solved by technology

[0004] However, due to the influence of large dynamic range and multiplicative noise, and the SAR images collected from different angles at different times are quite different, especially the SAR images obtained from different SAR sensors will have different geometric and radiation distortions. As a result, it is difficult to extract key points from the reference image and the image to be registered, the stability of the extracted features is poor, the number of effective features extracted is small, and the feature matching is difficult, which leads to the failure of the final SAR image registration or the registration accuracy is low. Difference

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