A Novel Method for Multispectral Image Classification by Using Social Spider Optimization Algorithm Integrated to Fuzzy C-Mean Clustering-Reference-Cited by-同舟云学术

A Novel Method for Multispectral Image Classification by Using Social Spider Optimization Algorithm Integrated to Fuzzy C-Mean Clustering

Published:2019-01-02 Issue:1 Volume:45 Page:42-53
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Bui Quang-Thanh¹^ORCID,Nguyen Quoc-Huy¹,Pham Van Manh²,Pham Vu Dong¹,Tran Mai Hoang³,Tran Trang T.H.³,Nguyen Huu Duy²,Nguyen Xuan Linh²,Pham Hai Minh⁴

Affiliation:

1. Center for Applied Research in Remote Sensing and GIS (CARGIS), Faculty of Geography, VNU University of Science, 334 Nguyen Trai, Ha Noi, Viet Nam;

2. Faculty of Geography, VNU University of Science, 334 Nguyen Trai, Ha Noi, Viet Nam;

3. Vingroup Big Data Institute – VINBDI, 5th Floor, Tower1, Timecity, Ha Noi, Viet Nam;

4. Vietnam Institute of Geodesy and Cartography, 479 Hoang Quoc Viet, Ha Noi, Viet Nam

Funder

Vietnam National Foundation for Science and Technology Development

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2019.1610369

Reference24 articles.

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4. Chang, D., and Zhang, X. 2007. “Self-adaptive evolutionary algorithm for multispectral remote sensing image clustering”. In International symposium on multispectral image processing and pattern recognition, Vol. 6787, p. 7, SPIE, Wuhan, China.

5. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

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