Method for detecting characteristic region matched with SAR

Abstract

The invention discloses a method for detecting a characteristic region matched with SAR. The method comprises: selecting any point in an image to be detected as the observation point, and acquiring a standard deviation of the region corresponding to an initial window taking the observation point as the center; successively and progressively increasing the size of the initial window, and acquiring the standard deviation of the region corresponding to each progressive increase window; and performing significance analysis for the standard deviation of the region corresponding to initial window and the standard deviation of the region corresponding to each progressive increase window, and determining that the image to be detected is suitable for matching when the significance is greater than the preset threshold. The method for detecting a characteristic region matched with SAR can avoid the problem that based on threshold segmentation method, the threshold setting for the whole image to be detected is difficult and segmentation is difficult, and cannot be influenced by the degree of the scattering characteristic of the observation point, and is wide in application range, and is especially suitable for the situation that the spot noise is large and large overlapped SAR images exist among the ground feature scattering characteristic values.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a synthetic aperture radar image processing and analysis method. Background technique [0002] The technical background related to the present invention will be described below, but these descriptions do not necessarily constitute the prior art of the present invention. [0003] In aircraft SAR imaging and navigation, spaceborne SAR images are usually used as reference maps or reference maps. Which region's reference map can meet the requirements of scene matching is an important factor to be considered in navigation. Different matching algorithms have different requirements on the benchmark image or reference image. At present, SAR matching methods mostly use feature-based matching algorithms. Therefore, the scene area should be selected to include as much as possible the characteristic area composed of weak scattering objects and strong scattering objects. If you choose a sc...

AI Technical Summary

Problems solved by technology

The advantage of this type of method is that the segmentation speed is fast, and the disadvantage is that the threshold of the image to be segmented needs to be estimated, so the effect of threshold estimation will greatly affect the result of the final adaptation area selection

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