An Adaptive and Semi-Supervised Fuzzy C-means Clustering Algorithm for Remotely Sensed Change Detection

被引：0
|
作者：
Shao, Pan [1 ,2 ]
Fan, Hongmei [1 ,2 ]
Gao, Ziang [1 ,2 ]
机构：
[1] Hubei Engineering Technology Research Center for Farmland Environment Monitoring, China Three Gorges University, Yichang,443002, China
[2] College of Computer and Information Technology, China Three Gorges University, Yichang,443002, China
来源：
Journal of Geo-Information Science | 2022年 / 24卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Adaptive - Change detection - Difference images - Fuzzy C means method - Fuzzy clustering algorithm - Fuzzy factors - Pseudo label - Remote-sensing - Semi-supervised - Spatial informations;
D O I：
10.12082/dqxxkx.2022.210237
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：508 / 521
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