Building change identification method and device, terminal and storage medium

Abstract

The invention belongs to the technical field of remote sensing satellite audio and video analysis, and particularly relates to a building change identification method and device, a terminal and a storage medium. The building change identification method comprises: acquiring first radar data of the same region in a first time window and second radar data of the same region in a second time window;performing filtering processing on the first radar data and the second radar data by adopting a time sequence filtering algorithm to obtain a first time sequence and a second time sequence; and basedon the first time sequence and the second time sequence, obtaining a change result of the building contained in the same region. The radar data is less affected by weather conditions and season time phases. The building change identification method can be used for identifying building changes in different time or different spaces, the application range of the building identification method can bewidened, and then the generalization requirements of building change identification tasks in different time or different spaces can be met.

Description

technical field [0001] The application belongs to the technical field of remote sensing satellite audio and video analysis, and in particular, relates to a method, device, terminal and storage medium for identifying building changes. Background technique [0002] Buildings, as an important artificial object, are an important element of the basic geographic database. With the development of science and technology, users can use remote sensing satellite image technology to observe changes in surface buildings. Satellite sensors are remote sensing systems that can acquire and record electromagnetic wave information emitted by the target object itself or reflected from natural radiation sources (such as the sun). [0003] Currently, users can analyze changes in buildings based on remote sensing images collected by satellite sensors. Because satellite sensors acquire remote sensing images, they will be affected by weather conditions such as clouds and fog, as well as changes in...

AI Technical Summary

Problems solved by technology

Because satellite sensors acquire remote sensing images, they will be affected by weather conditions such as clouds and fog, as well as changes in different seasons and phases, so there are large differences in image data in different spaces and time

Various algorithms designed by users can only be applied in specific regions and times, and cannot meet the generalization requirements of building change recognition tasks at different times or in different spaces

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