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Method for testing road damage based on post-disaster high-resolution remote sensing image

A high-resolution, remote sensing image technology, applied in the direction of measuring devices, electromagnetic wave re-radiation, radio wave measurement systems, etc., can solve problems that cannot meet the needs of rapid detection and evaluation of road damage, improve accuracy, reduce labor The effect of the degree of intervention

Active Publication Date: 2009-12-30
PEKING UNIV
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Problems solved by technology

As far as the method of detecting road damage from high-resolution remote sensing images is concerned, it is mainly carried out through manual interpretation, which is far from meeting the needs of rapid detection and evaluation of road damage

Method used

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  • Method for testing road damage based on post-disaster high-resolution remote sensing image
  • Method for testing road damage based on post-disaster high-resolution remote sensing image
  • Method for testing road damage based on post-disaster high-resolution remote sensing image

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Embodiment Construction

[0022] Attached below figure 2 The present invention is described in further detail:

[0023] The first step: Preprocessing the high-resolution remote sensing images after road damage, specifically, using Gaussian filtering to remove image noise, using histogram stretching to adjust image gray contrast, etc.; and in order to use GIS road data to guide image processing, The image data to be processed is spatially registered with the data of the GIS road database.

[0024] The second step: road coverage extraction before road damage occurs. In the post-disaster high-resolution images, the undamaged road edge retains the morphological features of the road before the damage, and the GIS basic road data provides information such as the centerline, width, and road grade of the road before the damage. Therefore, the coverage can be obtained by detecting and connecting the undamaged road edges in the image to extract the complete bilateral lines of the road before the damage.

[0...

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Abstract

The invention discloses a method for testing road damage based on post-disaster high-resolution remote sensing image, which belongs to the technical field of road damage detection and evaluation. The method comprises the steps as follows: high-resolution remote sensing image of a damaged road is preprocessed, and spatial registration is carried out on the image data and the data in a GIS road database; then, by adopting the assistant of the information in the GIS road database, the road coverage area before the damage is extracted through analyzing the post-disaster high-resolution remote sensing image; simultaneously, the road coverage area after the damage in the high-resolution remote sensing image is extracted; and road damage information is obtained through comparing the road coverage areas before and after the damage. The method fully uses the GIS road database, realizes the object-level damage testing method by adopting the post-disaster high-resolution image only, improves the accuracy of the testing results, and reduces the level of manual intervention.

Description

technical field [0001] The invention relates to a detection technology for road damage caused by natural disasters, in particular to a method for detecting road damage based on post-disaster high-resolution remote sensing images. Background technique [0002] Roads are an important part of the traffic lifeline system. After a major natural disaster occurs, it is of great significance for disaster emergency rescue to quickly and accurately understand the road damage in the disaster area, rationally plan rescue routes and formulate road repair plans. High-resolution remote sensing images can comprehensively and quickly reflect surface information, and are not limited by time and region, and are not affected by ground disasters. Therefore, they have broad application prospects in the detection and evaluation of road damage caused by disasters. As far as the method of detecting road damage in high-resolution remote sensing images is concerned, it is mainly carried out through m...

Claims

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Application Information

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IPC IPC(8): G01S17/89G06F17/30
Inventor 秦其明马海建李军
Owner PEKING UNIV
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