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Synthetic aperture radar has the ability to work 24/7 and 24/7, and has highapplication value. Propose a new SAR image matching algorithm based on multiclass features, mainly using two different types of features: straight linesand regions to enhance the robustness of the matching algorithm; On the basisof using prior knowledge of images, combined with LSD (Line Segment Detector)line detection and template matching algorithm, by analyzing the attributecorrelation between line and surface features in SAR images, selecting line andregion features in SAR images to match the images, the matching accuracybetween SAR images and visible light images is improved, and the probability ofmatching errors is reduced. The experimental results have verified that thisalgorithm can obtain high-precision matching results, achieve precise targetpositioning, and has good robustness to changes in perspective and lighting.The results are accurate and false positives are controllable.

SAR image matching algorithm based on multi-class features