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

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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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.

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