Ridgelet bi-frame system-based SAR image airfield runway extraction method

Abstract

The invention discloses a ridgelet bi-frame system-based SAR image linear object detection method, which comprises the following steps of: (1) performing histogram equalization on an input SAR airfield image to be detected to obtain an enhanced result image; (2) pre-filtering the enhanced image and performing dyadic wavelet transform-based image edge detection on a result after the per-filtering; (3) setting a threshold value T1, setting the edges less than the threshold value in image edge detection results to be zero and reserving the edge regions more than the threshold value; (4) detecting the edge line of an airfield runway according to the reserved edge regions; (5) setting a threshold value T2 and performing binaryzation processing on detected airfield runway edge results; and (6) matching binaryzation processing results with the results of an original SAR airfield image after the filtering by using a linear tracking method, and determining the actual length of the runway. The method has the advantages of no complex post-processing process, high practicality, quickness, and precision positioning, and can be used for the extraction of the airfield runway in a relatively large complex SAR image scene.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to an image detection method for extracting airport runways in SAR images. Background technique [0002] Synthetic Aperture Radar, or SAR, has the ability to observe the earth's surface all-weather and all-weather, and with the improvement of signal processing technology, it has reached a very high spatial resolution, which makes SAR sensors in military reconnaissance and Battlefield awareness has played an increasingly important role. At present, SAR automatic target detection and recognition is a field that has attracted great attention at home and abroad. [0003] For SAR images, some important targets often contain a large number of linear features, such as ports, airports, buildings, etc. Therefore, the detection and extraction of line targets has always been an important issue in SAR image processing. [0004] Line targets in SAR images usually represent the boundaries...

AI Technical Summary

Problems solved by technology

This type of method has high requirements for the accuracy of low-level edge detection results. In the process of online primitive extraction, parallel line detection mostly uses hough transform, and hough has inherent defects in line detection: (1) it will be affected by raster image jaggedness Due to the influence of the problem, the result of hough transformation of a straight line is two or more s

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