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Method and apparatus for building facade damage detection in oblique aerial image

A technology for aerial images and buildings, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of difficult acquisition of oblique aerial images, difficult acquisition, and high-precision registration, so as to reduce complexity and improve automation Degree and precision, the effect of saving production costs

Active Publication Date: 2015-12-09
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This type of method is mainly based on the method of change detection for building facade damage detection. However, it is generally difficult to obtain oblique aerial images before a disaster, especially oblique images near the time before the disaster. How to perform high-precision registration due to the influence of tilt is also the current difficulty

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  • Method and apparatus for building facade damage detection in oblique aerial image
  • Method and apparatus for building facade damage detection in oblique aerial image
  • Method and apparatus for building facade damage detection in oblique aerial image

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Embodiment 1

[0054] figure 1 It is a flowchart of a method for detecting damage to a building facade in an oblique aerial image provided by a specific embodiment of the present invention. Such as figure 1 As shown, the method for detecting damage to the facade of a building in an oblique aerial image of the present invention includes:

[0055] Step 1: Use the k-means clustering algorithm based on rough set theory to segment the building facade to obtain the doors and windows of the building facade;

[0056] Step 2: Use the canny algorithm to perform edge detection on the doors and windows of the building facade to obtain the edge features of the doors and windows;

[0057] Step 3: Use the Gini coefficient in economics to perform statistics on the edge features to obtain the Gini coefficient of the building facade;

[0058] Step 4: Determine whether the building facade is damaged according to the Gini coefficient.

[0059] The present invention proposes a method for detecting building facade damage ...

Embodiment 2

[0088] This embodiment 2 is a device embodiment, and embodiment 1 is a method embodiment. The device embodiment and the method embodiment belong to the same technical concept. For the content not described in detail in the device embodiment, please refer to the method embodiment.

[0089] figure 2 It is a schematic structural diagram of a device for detecting damage to a building facade in an oblique aerial image provided by a specific embodiment of the present invention. Such as figure 2 As shown, the device for detecting damage to the facade of a building in an oblique aerial image of the present invention includes:

[0090] The building facade segmentation unit is used to segment the building facade by using the k-means clustering algorithm based on rough set theory to obtain the doors and windows of the building facade;

[0091] The door and window edge feature calculation unit is used to use the canny algorithm to perform edge detection on the doors and windows of the building...

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Abstract

The present invention discloses a method for building facade damage detection in an oblique aerial image. The method comprises the steps of: 1, using a k-means clustering algorithm based on a rough set theory to divide a building facade to obtain doors and windows of the building facade; 2, using a canny algorithm to perform edge detection on the doors and windows of the building facade to obtain edge features of the doors and windows; 3, using a Gini coefficient in economics to perform statistics on the edge features to obtain a Gini coefficient of the building facade; and 4, determining whether the building facade is broken according to the Gini coefficient. The method for building facade damage detection in the oblique aerial image is capable of easily and efficiently performing damage detection on the building facade without the need for prior information and pre-disaster data, thereby lowering the complexity of the method and reducing the production cost. The Gini coefficient in economics is introduced as an index for building facade damage detection, and structural features of the building facade can be made full use of to determine damage, thereby providing a solution for improving the precision and automation of building damage evaluation.

Description

Technical field [0001] The invention relates to the technical field of remote sensing image application, in particular to a method and device for detecting damage to the facade of a building in an oblique aerial image. Background technique [0002] Natural disasters have long caused huge losses to human life and property, and are a huge obstacle to human survival and development. Remote sensing technology has the characteristics of short revisit period, large detection range, and high data comprehensiveness, which provides a favorable means for disaster monitoring and evaluation. With the development of various monitoring methods and high-tech, traditional disaster detection and evaluation have gradually developed from qualitative statistical evaluation to quantitative fine evaluation. Buildings are the core elements of people's production and life. The detection and extraction of damage information after natural disasters is of great significance. It can provide important decis...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/46
CPCG06T2207/20021G06V10/44
Inventor 眭海刚涂继辉贾曲吕枘蓬马国锐
Owner WUHAN UNIV
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