A method for detecting damaged buildings
A detection method and building technology, applied in the field of surveying, mapping and remote sensing, can solve the problems of difficult and reliable detection, difficult to accurately detect, damaged buildings, etc., and achieve the effects of fast and reliable identification, fast and reliable detection, and high execution efficiency.
Active Publication Date: 2016-09-07
MIN OF CIVIL AFFAIRS NAT DISASTER REDUCTION CENT
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Problems solved by technology
The planar feature extraction method that this type of method relies on makes it only effective for the detection of damaged buildings with flat roofs, but it is difficult to effectively detect damaged buildings with curved roofs
In addition, due to the complexity of the damaged building, there is a serious uncertainty in the size of the building plane, which makes it difficult to accurately detect the damaged building using the size threshold
Therefore, this type of method can reliably detect simple damaged buildings with flat roofs only by using the airborne laser point cloud of the damaged buildings, but it is difficult to accurately and reliably detect damaged buildings with complex structures including curved roofs
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[0019] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0020] figure 1 Flowchart of the damaged building detection method according to the present invention. Such as figure 1 As shown, the detection method provided by the present invention includes: at step 101, generating the contour line of the building based on the laser point cloud of the building; at step 102, performing contour classification on the contour line cluster to obtain contour clusters; at step 103, calculate the normalized information entropy of the contour shape similarity of said contour clusters; at step 104, according to the contour of said contour clusters The normalized information entropy of the shape similarity calculates the classificat...
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The invention discloses a damaged building detection method, the detection method comprising: generating the contour line of the building based on the laser point cloud of the building; performing contour clustering on the contour line to obtain the contour line cluster; calculate the normalized information entropy of the contour shape similarity of the contour cluster; calculate the classification threshold according to the normalized information entropy of the contour shape similarity of the contour cluster, and use the The classification threshold calculates the damage index of the contour cluster; and judges whether the building is damaged according to the damage index. Damaged buildings with complex structures can be accurately detected by the detection method.
Description
technical field [0001] The invention relates to the technical field of surveying and mapping remote sensing, in particular to a damaged building detection method. Background technique [0002] Laser scanning technology (for example, airborne laser scanning technology) is a new type of active remote sensing technology for high-precision and fast acquisition of three-dimensional geometric data of objects. It has the following unique advantages in the field of damaged building detection: Quickly collect building information day and night; secondly, the multi-echo feature enables it to penetrate vegetation and collect building information in blocked areas; thirdly, use the rich 3D information collected on the building surface to quickly extract rich 3D damage information of the building , and used to detect a variety of building damage types. Therefore, using airborne laser point cloud to quickly and accurately detect damaged buildings has become a technology with great develop...
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IPC IPC(8): G01B11/24
Inventor 范一大林月冠王薇杜志强何美章
Owner MIN OF CIVIL AFFAIRS NAT DISASTER REDUCTION CENT