BANet: A bilateral attention network for extracting changed buildings between remote sensing imagery and cadastral maps

• Published in: International journal of applied earth observation and geoinformation Vol. 139; p. 104486
• Main Authors: Li, Qingyu, Mou, Lichao, Shi, Yilei, Zhu, Xiao Xiang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2025; Elsevier
• Subjects: Bilateral attention; Building change detection; Cadastral map; Deep learning; Remote sensing imagery; Deep learning; Bilateral attention; Building change detection; Cadastral map; Remote sensing imagery

Up-to-date cadastral maps are vital to local governments in administrating real estate in cities. With its growing availability, remote sensing imagery is the cost-effective data for updating semantic contents on cadastral maps. In this study, we address the problem of updating buildings on cadastra...