Multiresolution-Based Rough Fuzzy Possibilistic <i>C</i>-Means Clustering Method for Land Cover Change Detection-Reference-Cited by-同舟云学术

Multiresolution-Based Rough Fuzzy Possibilistic C-Means Clustering Method for Land Cover Change Detection

Published:2023 Issue: Volume:16 Page:570-580
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Xiao Tong¹,Wan Yiliang¹^ORCID,Chen Jianjun²,Shi Wenzhong³^ORCID,Qin Jianxin¹,Li Deping¹

Affiliation:

1. School of Geographical Sciences, Hunan Normal University, Changsha, China

2. Hunan Vocational College of Engineering, Changsha, China

3. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China

Funder

National Natural Science Foundation of China

Humanity and Social Science Youth foundation of Ministry of Education of China

Natural Science Foundation of Hainan Province

Research Project of Department of Natural and Resources of Hunan Province, China

Changsha City Outstanding Innovative Youth Training Program, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/09980384.pdf?arnumber=9980384

Reference52 articles.

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2. Stateoftheart remotely sensed images-based change detection methods;shi;Geomatics Inf Sci Wuhan Univ,2018

3. Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images

4. Object-oriented classification and information extraction based on high spatial resolution remote sensing image;zhang;Remote Sens Technol Appl,2010

5. Multi-Channel Remote Sensing Data and Orthogonal Transformations for Change Detection

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