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Detection method of airport area through aerial shooting image

A technology for aerial image and area detection, applied in the direction of photo interpretation, etc., can solve problems such as poor detection effect

Active Publication Date: 2013-06-19
NORTHWESTERN POLYTECHNICAL UNIV
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  • Application Information

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Problems solved by technology

[0004] In order to overcome the shortcomings of the poor detection effect of the existing airport runway detection method under the long-line feature, the invention provides a method for detecting the airport area of ​​the aerial image

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  • Detection method of airport area through aerial shooting image
  • Detection method of airport area through aerial shooting image
  • Detection method of airport area through aerial shooting image

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Embodiment Construction

[0031] The specific steps of the method for detecting the airport area of ​​the aerial image of the present invention are as follows:

[0032] 1. Steger extracts the line feature center.

[0033] Firstly, the aerial images are processed by median filtering, which can better eliminate the noise interference in image acquisition. Steger's edge detection algorithm based on Hessian matrix firstly convolves the image with Gaussian kernel to get the partial derivative. For any two-dimensional image, the Hessian matrix can be obtained, and the two eigenvalues ​​of the Hessian matrix are image gray The maximum and minimum values ​​of the second derivative of the degree function.

[0034] By calculating the maximum absolute eigenvalue and the corresponding eigenvector of the Hessian matrix, the normal direction and the second derivative in this direction can be obtained.

[0035] For a two-dimensional image L(x 0 ), x 0 It is a certain point in the image. Steger believes that the f...

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PUM

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Abstract

The invention discloses a detection method of an airport area through an aerial shooting image, and aims at solving the technical problem that an airfield runway detection method is poor in detection effect under existing long linear characteristics. The method comprises that at first, according to a long straight line characteristic of an airfield runway, a Steger algorithm is used for strengthening a linear object in the image, and the central point of the linear object is determined through calculation of a characteristic value of the maximum absolute value of an Hessian matrix; then straight line detection is carried out on the result of the linear objects strengthened by the Steger algorithm through Hough conversion; and finally the position of an airport is determined through straight line connection and statistics. Due to the fact that the Hough conversion detection straight line is carried out on the basis of the result of the Steger algorithm, a great quantity of interference line segments are removed, and a detection effect of the airport area is improved.

Description

technical field [0001] The invention relates to an airport area detection method, in particular to an airport area detection method for an aerial image. Background technique [0002] Airports are a very important artificial target in aerial images. It is of great significance to automatically and quickly detect the area where the airport is located from aerial images. Airport detection mostly studies how to extract runways to determine whether there is an airport. Existing airport runway automatic detection and recognition methods are roughly divided into: edge detection-based methods, region segmentation-based methods, and context-based runway recognition. [0003] The document "Airport Runway Detection Method Based on Long Line Features, Infrared and Laser Engineering, 2012, Vo1.41(4), p1078-1082" discloses a runway recognition method based on long line features. This method uses the high contrast of the runway in the image and the overall long straight line feature to ex...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C11/04
Inventor 张艳宁杨涛屈冰欣
Owner NORTHWESTERN POLYTECHNICAL UNIV
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