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SAR (synthetic aperture radar) image rapid bridge detection method

A bridge detection and bridge technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as slow detection speed, and achieve the effect of improving efficiency, fast detection speed, and improving detection speed.

Active Publication Date: 2013-09-25
XIDIAN UNIV
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Problems solved by technology

[0008] In order to overcome the problem of slow detection speed of existing detection methods, the present invention proposes a fast bridge detection method to shorten the running time while ensuring the accuracy of bridge detection, improve the speed of bridge detection, and meet the real-time requirements in practical applications. requirements

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Embodiment Construction

[0036] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0037]Step 1. Use Daubechies5 wavelet to decompose the input SAR image to obtain the low-frequency sub-image of the original image.

[0038] Step 2, extract the water contour information in the low-frequency sub-image to determine the potential bridge area.

[0039] (2a) Draw the histogram of the low-frequency sub-image, and select the gray value corresponding to the first trough point in the histogram as the threshold T for water segmentation r , perform water segmentation on the low-frequency sub-image according to the threshold to obtain water body regions, and mark the obtained water body regions, which are sequentially recorded as 1, 2...t, where t is the number of water body regions;

[0040] (2b) For each obtained water body area, use the Canny operator to extract its edge, and divide the marked t potential bridge areas according to the combination method in mathema...

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Abstract

The invention discloses an SAR (synthetic aperture radar) image rapid bridge detection method for mainly solving the problem that the bridge detection speed is slow in the prior art. The method comprises the following steps: (1) selecting Daubechies5 wavelet to perform the wavelet decomposition on an input SAR image; (2) extracting water contour information in a low-frequency sub-image to determine a potential bridge region in the low-frequency sub-image; (3) mapping the potential bridge region in the low-frequency sub-image to a coordinate system of an original image by using a coordinate mapping formula; (4) performing a region connection on the potential bridge region in the original image; (5) extracting bridge characteristics from the potential bridge region in the original image; (6) judging whether the target in the potential bridge region is a bridge according to the obtained bridge characteristics; and (7) computing a bridge direction of the potential bridge region with the bridge. Compared with the similar method, under the condition of guaranteeing the bridge correct detection rate, the method has the advantages that the computation load is reduced, the bridge detectionspeed is improved, and the real-time requirement in the practical application is satisfied.

Description

technical field [0001] The invention belongs to the technical field of SAR image processing, in particular to a rapid detection method for bridge targets in SAR images based on wavelet decomposition. Background technique [0002] As an important transportation hub, bridge targets are mostly located at the intersection of main roads and rivers, and are closely related to various mobile or fixed military targets. Therefore, it is of great significance to study bridge detection in SAR images. [0003] Currently proposed SAR image bridge detection methods mainly include: [0004] In "Bridge recognition of median-resolution SAR images using Pun histogram entropy, Chinese Optics Letters, 2009, 7(7), 572-575", WU et al. proposed a method to detect bridges using Pun entropy. Segment and extract the contour of the water body, and then extract the Pun entropy feature of the bridge in the determined potential bridge area, and use this feature to distinguish the bridge and remove false...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T7/00G06T7/136
Inventor 刘峥谢欣刘钦谢荣
Owner XIDIAN UNIV