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Unsupervised change detection using a novel fuzzy c-means clustering simultaneously incorporating local and global information

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Affiliation of Author(s):环境与测绘学院

Funded by:国家自然科学基金项目

First Author:haoming

Co-author:zhanghua

Indexed by:Journal paper

Document Code:paper_102929

Volume:69;19;

ISSN No.:1573-7721

Translation or Not:no

Date of Publication:2017-09-01

Pre One : A change detection framework by fusing threshold and clustering methods for optical medium resolution remote sensing images

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School/Department:环境与测绘学院

Gender:Male

Degree:Doctor

Alma Mater:中国矿业大学

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