EMS-CDNet: an efficient multi-scale-fusion change detection network for very high-resolution remote sensing images-Reference-Cited by-同舟云学术

EMS-CDNet: an efficient multi-scale-fusion change detection network for very high-resolution remote sensing images

Author:

Zheng Zhi¹,Wan Yi¹,Zhang Yongjun¹,Yang Kun²,Xiao Rang³,Lin Chao⁴,Wu Qiong¹,Peng Daifeng⁵

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Guizhou Basic Geographic Information Center, Guiyang, China

3. Guizhou Tuzhi Information Technology, Guiyang, China

4. Land resource and information center of Guangdong province, Guangzhou, China

5. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Innovative Research Groups of the Hubei Natural Science Foundation

Major special projects of Guizhou

the China Postdoctoral Science Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

Reference53 articles.

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3. M2-CDNet: A Multi-Scale and Multi-Level Network for Remote Sensing Image Change Detection;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16