Hybrid model to optimize object-based land cover classification by meta-heuristic algorithm: an example for supporting urban management in Ha Noi, Viet Nam-Reference-Cited by-同舟云学术

Hybrid model to optimize object-based land cover classification by meta-heuristic algorithm: an example for supporting urban management in Ha Noi, Viet Nam

Published:2018-10-31 Issue:10 Volume:12 Page:1118-1132
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Bui Quang-Thanh¹^ORCID,Pham Van Manh¹,Hang Nguyen Thi Thuy²,Nguyen Quoc-Huy¹,Linh Nguyen Xuan¹,Hai Pham Minh³,Tuan Tran Anh⁴,Van Cu Pham²

Affiliation:

1. Center for Applied Research in Remote sensing and GIS (CARGIS), VNU University of Science, Ha Noi, Viet Nam

2. VNU University of Science, Ha Noi, Viet Nam

3. Vietnam Institute of Geodesy and Cartography, Ha Noi, Viet Nam

4. Ministry of Education and Training, Ha Noi, Viet Nam

Funder

Vietnam National Foundation for Science and Technology Development

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2018.1542039

Reference23 articles.

1. Random forest in remote sensing: A review of applications and future directions

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4. 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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