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Crack detection method based on remote sensing image

A detection method and remote sensing image technology, applied in the field of crack detection based on remote sensing images, can solve problems such as unsatisfactory crack detection effect, and achieve the effects of reducing the detection range, speeding up subsequent processing, and rapid detection.

Active Publication Date: 2019-08-02
西安因诺航空科技有限公司
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Problems solved by technology

Because these algorithms take advantage of the structural characteristics of the image, they are only suitable for crack detection with a relatively simple background and low complexity, and the crack detection effect in oil pipeline images is not ideal.

Method used

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  • Crack detection method based on remote sensing image
  • Crack detection method based on remote sensing image
  • Crack detection method based on remote sensing image

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Embodiment Construction

[0065] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific processes. The present invention discloses a crack detection method based on remote sensing images, see figure 1 , is a flowchart of the present invention, and the method specifically includes the following steps:

[0066] Step 1, grayscale processing

[0067] In order to improve the computing efficiency of the present invention and to facilitate the morphological operation in the invention, the high-resolution UAV aerial images are converted to grayscale to reduce the amount of data, and the UAV aerial images are remote sensing images. For UAV aerial images with a resolution of 7360*4912*3 ( figure 2 ) using the well-known psychological formula to convert it into a grayscale image ( image 3 ).

[0068] In computer vision and computer graphics, the conversion of color images to grayscale images described by the following equation is widely used...

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Abstract

The invention discloses a crack detection method based on a remote sensing image. The method comprises the following steps: firstly, carrying out gray processing on a high-resolution unmanned aerial vehicle aerial image; performing feature highlighting on the gray level image by using a black cap algorithm, performing thresholding on a black cap operation result, performing expansion on the binaryimage, performing corrosion operation on the binary image, and finally performing machine learning training after extracting a connected domain of the binary image so as to complete crack detection.The crack detection method is suitable for crack detection operation of the unmanned aerial vehicle remote sensing image under the complex background, a large number of experiments prove that the crack information of the unmanned aerial vehicle aerial remote sensing image can be rapidly detected, calculation is easy, and the crack detection method can be suitable for complex scenes.

Description

[0001] 【Technical field】 [0002] The invention belongs to the field of image detection, and in particular relates to a crack detection method based on remote sensing images. [0003] 【Background technique】 [0004] In recent years, with the development and application of remote sensing technology, the status of remote sensing technology in the country and society is becoming more and more important, and it has an important impact on people's life and industrial production. Unmanned Aerial Vehicle (UAV) remote sensing, as a supplement to satellite remote sensing and manned aircraft remote sensing, has attracted great attention from researchers at home and abroad. UAV remote sensing is the most economical new technology in remote sensing detection. It has many advantages such as low investment, strong real-time performance, little interference from weather, and easy operation. UAVs are not limited by terrain in detection, and do not require special take-off and landing sites. T...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/24G06F18/214
Inventor 田慧明白霖抒韩姣姣马泳潮
Owner 西安因诺航空科技有限公司
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