High-resolution remote sensing image weak supervision building change detection method guided by prior semantic knowledge

Abstract

The invention provides a priori semantic knowledge-guided high-resolution remote sensing image weak supervision building change detection method, which is used for carrying out building automatic change detection by utilizing a high-resolution remote sensing image, and comprises the following steps of: firstly, generating priori semantic knowledge by adopting a building extraction algorithm fusing domain self-adaption and a weak supervision strategy, improving the cross-domain expansion capability of priori knowledge to the maximum extent by fully utilizing two strategies of domain self-adaption and weak supervision, and reducing the number and difficulty of sample data set manufacturing; and then, designing a high-resolution remote sensing image weak supervision building change detection network guided by prior semantic knowledge, taking intermediate results of each stage of the building extraction network as prior knowledge, reducing the dependence of the network on change detection sample data to the greatest extent, and improving the effect of building change detection.

Description

technical field [0001] The invention belongs to the field of building change detection, and in particular relates to a building extraction network integrating domain self-adaptive and weak supervision strategies and a building change detection network guided by prior semantic knowledge. Background technique [0002] Remote sensing image change detection is one of the important contents of geographic national conditions monitoring, and it is of great significance to urban dynamic monitoring, geographic information update, natural disaster monitoring, illegal building investigation, military target attack effect analysis, and land resource investigation. Thanks to the rapid development of deep learning technology and earth observation technology in recent years, high-resolution remote sensing image change detection has developed rapidly from data accumulation to algorithm models, but there is still a certain distance from commercial application. At present, the difficulties of...

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Problems solved by technology

[0039] In view of the difficulty in making sample data sets for building change detection at the present stage and the lack of model cross-domain generalization capabilities, the purpose of this invention is to provide a building change detection method that can make full use of prior semantic knowledge

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