SAR image road detection method based on ratio features

Abstract

The present invention discloses a SAR image road detection method based on ratio features. The problems are mainly solved that road edge positioning is not accurate and a false alarm rate is high in the prior art. The method comprises the steps of: 1) performing speckle reduction of an SAR image and extracting 9 texture features; 2) screening 3 texture features having the greatest contribution onclassification from the 9 texture features according to a Bhattacharyya distance; 3) calculating comparison ratio features R1 and similar ratio features R2 in the image point by point after speckle reduction; 4) constructing a road dictionary D1 and a background dictionary D2 by employing samples with results of the step 2) and the step 3); 5) solving one average difference value E1 of the road dictionary D1 and one average mean value E2 of the background dictionary D2 for each pixel point, performing classification of the pixel points through the difference values, and obtaining a preliminarydetection result; and 6) performing optimization of the preliminary detection result, and obtaining a final detection result. The SAR image road detection method based on ratio features can completely and clearly detect roads in the SAR image, and is suitable for detection of roads with different directions and different widths in the SAR image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a road detection method for SAR images, which can be used for map updating, transportation logistics and urban planning. Background technique [0002] In recent years, with the continuous development of key technologies of synthetic aperture radar, SAR imaging resolution has been continuously improved, signal processing capability has been continuously enhanced, data transmission rate has been continuously increased, equipment volume has been continuously reduced, and quality has been continuously reduced. SAR images can be widely used in intelligence. Collection, battlefield surveillance, attack guidance, strike effect evaluation, etc. SAR image technology has made considerable progress and development since its birth to the present for more than 50 years. In SAR image analysis, line features are very important, because some objects in the image have linear str...

AI Technical Summary

Problems solved by technology

These conventional primitive detection methods all have problems such as inaccurate positioning of the road edge and high false alarm rate.

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