Optical/SAR (synthetic aperture radar) heterogeneous image matching method

Abstract

The invention provides an optical / SAR (synthetic aperture radar) heterogeneous image matching method and aims to provide a heterogeneous image matching method which is characterized in that the matching and searching real-time performance is strong and the SAR real-time image is free from two-valued or multi-valued processing. According to the technical scheme of the invention, the optical / SAR heterogeneous image matching method comprises the following steps: selecting a variety of surface-feature areas from a historically-accumulated millimeter-wave SAR image to count grayscales, and constructing a millimeter-wave SAR surface-feature grayscale characteristic database; selecting a plurality of interested effective matching areas from an optical remote-sensing image, classifying surface features and segmenting the areas; filling different surface-feature segmentation areas with different grayscales, and acquiring a multi-valued reference graph of the areas; and directly carrying out grayscale normalization cross-correlation matching by using the millimeter-wave SAR real-time graph and the multi-valued reference graph of the areas, wherein the multi-valued reference graph of the areas is made by the optical remote-sensing image; pre-processing the correlation matching of the multi-valued reference graph of the areas, and processing the correlation matching of the reference graph and the real-time graph in real time. According to the optical / SAR (synthetic aperture radar) heterogeneous image matching method provided by the invention, the problems of inaccurate real-time image segmentation and mismatching caused by binarization can be solved.

Description

technical field [0001] The invention relates to an optical / SAR heterogeneous image matching method based on a regional multi-valued reference map, in particular to a heterogeneous image matching method for an optical remote sensing reference map and a SAR radar real-time image. Background technique [0002] The information acquisition methods of the missile terminal guidance seeker include synthetic aperture radar (SAR, Synthetic Aperture Radar), infrared, and optical sensors. The seeker uses the real-time image acquired in real time and the pre-stored reference image to perform correlation calculations to achieve scene matching, so that the actual position of the target in the real-time image can be calculated from the prior position of the target in the reference image, and the real-time image can be obtained according to the real-time image. The location information of the target is used to correct the flight error and hit the target accurately. SAR imaging terminal guid...

AI Technical Summary

Problems solved by technology

The former has a small amount of calculation but requires high reference map preparation. The reference map prepared from optical images is very similar to the real-time map. Even if the simulation from optics to SAR is realized through the radar imaging mechanism, it is difficult to provide combat support due to the quality of personnel and equipment resources. It is difficult to implement quickly and effectively in actual combat; the latter has high matching reliability and accuracy but has a large amount of calculation, and needs to optimize the search and matching algorithms to meet the requirements of real-time processing

[0007] The existing optical reference image preparation method is often to simultaneously prepare the reference image and the real-time image into a binary image and then match them, but the online segmentation of the real-time image is often inaccurate, and sometimes there is even a mismatch, so binarization is impossible. taken

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