Building true/false change judgement method and false change removal method comprising building true/false change judgement method

A judgment method and building technology, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as inability to match correctly, missing points of interest, etc.

Active Publication Date: 2017-05-10
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology helps predicting how many people are likely to be inside or outside an urban region during different times based on their location within that space. It also uses this data to create virtual boundaries around specific areas where there may have been significant differences between them due to environmental factors like rainwater damage or snowfall. By comparing these borders with existing ones, it becomes possible to identify any potential issues related to construction projects such as water leaks caused by cracks or other damages.

Problems solved by technology

Technological Problem addressed in this patents relates to improving accurate monitoring systems based on remotely sensored imagery collected during construction activities. Current techniques involve complex calculations involving multiple cameras and expensive equipment, making them challenging to implement accurately detecting changes caused by environmental variables like soil conditions. There is currently no efficient way to eliminate these issues while maintaining their precision. Therefore, current technologies require advanced analysis capabilities and expertise beyond what was previously possible beforehand.

Method used

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  • Building true/false change judgement method and false change removal method comprising building true/false change judgement method
  • Building true/false change judgement method and false change removal method comprising building true/false change judgement method
  • Building true/false change judgement method and false change removal method comprising building true/false change judgement method

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Embodiment 1

[0086] A method for removing building authenticity changes, comprising the following steps:

[0087] Step 1. Obtain the binary map of the change area through routine change detection; determine the authenticity of the building;

[0088] Step 2: Intersect the binary map of the change area obtained in step 1 with the result of judging the authenticity of the building, and remove the pseudo-changed objects in the binary map of the change area.

[0089] In the first step above, the authenticity of the building is judged, including four major steps, and the detailed process is as follows:

[0090] The first step is to extract the shadow information of buildings in high-resolution remote sensing images of different time phases. Taking two time phases as an example, the following steps are specifically included:

[0091] Step 1.1, extracting the spectral features and texture features of each pixel in the high-resolution remote sensing image of the building, the spectral features inc...

Embodiment 2

[0120] The practical application of the method for judging the true and false changes of buildings and removing the false changes of the present invention.

[0121] The images used are Google Earth images with a resolution of 0.12 meters. The shooting area is an area of ​​downtown Washington, USA. The number of image rows and columns is 1098×2476. The time of capture is April 30, 1999 and April 3, 2010. Figure 6 for image information, Figure 6 Middle: (a) is the two-temporal images of 1999 and 2010, (b) is the building mask in the artificially marked two-temporal images, the dark gray (such as marked s1) is the building in 1999, the gray ( For example, the place labeled s3) is the building in 2010, the light gray (such as the place marked s2) is the overlapping part, and the buildings in the gray frame (such as the place marked s4) are the buildings that have actually changed, (c) These are buildings No. 1 and No. 2 whose edge structures have changed.

[0122] Through visu...

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Abstract

The invention provides a building true/false change judgement method. The method specifically comprises the following steps of: firstly, determining position relationships between corresponding buildings and shadows in different phase high-definition remote sensing images of a certain urban area from shadow information on the basis of spatial topological consistency analysis; secondly, constructing local building area pairs for the buildings with corresponding relationships, wherein each of the area pairs comprises a corresponding building top edge; and finally, establishing true/false change judgement indexes on the basis of the characteristic description of building top edge structures in local building areas, comparing whether the local building areas of the corresponding buildings have similar building top edge structure information or not, and then judging whether the buildings have true/false changes. By applying the method provided by the invention, the true/false changes of the buildings can be precisely judged. The invention furthermore discloses a true/false change removal method; and by combining the building true/false change judgement method with the false change removal method, more than 90% of false change pixels can be removed, the phenomenon of accidentally removing the true change pixels is not caused, and good effect is obtained.

Description

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Claims

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Application Information

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Owner CENT SOUTH UNIV
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