Domain Adaption for Building Extraction from Remote Sensing Images

Abstract

Due to the scarcity of remote sensing image annotation data and low model generalization ability, automatically extracting buildings from different remote sensing images remains a challenging problem. A domain adaption framework is proposed for building extraction from remote sensing images and tested on Inria aerial image labeling dataset. Results show that domain adaption is beneficial to improve the accuracy of building extraction in the target domain.