Land Cover Classification of Resources Survey Remote Sensing Images Based on Segmentation Model-Reference-Cited by-同舟云学术

Land Cover Classification of Resources Survey Remote Sensing Images Based on Segmentation Model

Author:

Fan Zhenyu¹^ORCID,Zhan Tao²,Gao Zhichao²,Li Rui¹,Liu Yao³,Zhang Lianzhi³^ORCID,Jin Zixiang³,Xu Supeng³

Affiliation:

1. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China

2. Institute of Ecological Geology Survey and Research of Heilongjiang Province, Harbin, China

3. School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, China

Funder

National Natural Science Foundation of China

Eco-Geology Survey Research Institute of Heilongjiang Province

China Aero Geophysical Survey and Remote Sensing Center for Natural Resources

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference53 articles.

3. BiSeNet: Bilateral segmentation network for real-time semantic segmentation;yu;arXiv 1808 00897,2018

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