SAR image road detection method based on ratio features

A road detection and image technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of inaccurate road edge positioning and high false alarm rate, achieve low practicability, eliminate false alarm areas, and reduce complexity. Effect

Active Publication Date: 2018-06-01
XIDIAN UNIV
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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.

Method used

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  • SAR image road detection method based on ratio features
  • SAR image road detection method based on ratio features
  • SAR image road detection method based on ratio features

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Embodiment Construction

[0031] Below in conjunction with accompanying drawing, the present invention is described in detail:

[0032] refer to figure 1 , the implementation steps of the present invention are as follows:

[0033] Step 1: Enter data and perform speckle reduction.

[0034] The suppression of SAR coherence speckle is the key to SAR image processing, and also the premise of subsequent image recognition and other work.

[0035] The present invention uses the PPB algorithm to reduce the speckle of the input SAR image to obtain a clearer image of the road, so as to weaken the influence of noise, increase the contrast between the road and the background, and lay a foundation for accurate road detection features.

[0036] Step 2: Extract texture features.

[0037] SAR images contain rich texture features, if the texture information is used reasonably, it will be beneficial to road detection. According to the denoised image, the gray level co-occurrence matrix is ​​constructed point by poin...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/45G06K9/62
CPCG06T7/13G06T7/45G06T2207/20076G06T2207/10044G06T2207/30184G06F18/24
Inventor 孟红云张小华王晓田小林朱虎明曹向海侯彪
Owner XIDIAN UNIV
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