傅绘锦.一种新的基于深度学习的遥感影像变化检测算法——H-BIT方法的提出与应用[J].地理空间信息,2023(01).

汤富平,吴臻涵,蔡东燕,唐伟.基于UNet的差值影像变化检测试验与分析[J].地理空间信息,2022(11).

黄亮,於雪琴,姚丙秀,杨泽楠.线性迭代聚类和主成分分析的遥感影像变化检测[J].测绘科学,2019(11).

李亮,王蕾,孙晓鹏,应国伟.面向对象变化向量分析的遥感影像变化检测[J].遥感信息,2017(06).

Li Huanhuan,Song Wei.Spatial transformation of changes in global cultivated land[J].Science of the Total Environment,2023.

Liu Jia,Xuan Wenjie,Gan Yuhang,Zhan Yibing,Liu Juhua,Du Bo.An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection[J].Pattern Recognition,2022.

Zhang Hongyan,Lin Manhui,Yang Guangyi,Zhang Liangpei.ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images.[J].IEEE transactions on neural networks and learning systems,2021.

Yunyang Shi,Wenkai Duan,Luuk Fleskens,Mu Li,Jinmin Hao.Study on evaluation of regional cultivated land quality based on resource-asset-capital attributes and its spatial mechanism[J].Applied Geography,2020.

Lazhar Khelifi,Max Mignotte.Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis[J].IEEE Access,2020.

Wenping Ma,Yunta Xiong,Yue Wu,Hui Yang,Xiangrong Zhang,Licheng Jiao.Change Detection in Remote Sensing Images Based on Image Mapping and a Deep Capsule Network[J].Remote Sensing,2019.

Patrick Helber,Benjamin Bischke,Andreas Dengel,Damian Borth,Geoscience,},{,name,:,Signal Processing and Analysis,},{,name,:,Power, Energy and Industry Applications,}].EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2019.

Wei Xing,Yang Qingxiong,Gong Yihong,Ahuja Narendra,Yang Ming-Hsuan.Superpixel Hierarchy.[J].IEEE transactions on image processing : a publication of the IEEE Signal Processing Society,2018.