Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 184; pp. 63 - 78
• Main Authors: Zhu, Qiqi, Guo, Xi, Deng, Weihuan, Shi, Sunan, Guan, Qingfeng, Zhong, Yanfei, Zhang, Liangpei, Li, Deren
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2022
• Subjects: Change detection; Change mask; data collection; Imbalanced sample; land use and land cover maps; photogrammetry; Remote sensing; Semantic change detection; Siamese network; Siamese network; Semantic change detection; Change detection; Change mask; Remote sensing; Imbalanced sample
• ISSN: 0924-2716; 1872-8235
• DOI: 10.1016/j.isprsjprs.2021.12.005

Due to the abundant features of high spatial resolution (HSR) remote sensing images, change detection of these images is crucial to understanding the land-use and land-cover (LULC) changes. However, previous works mostly focus on traditional binary change detection without considering the semantic i...