MAE-BG: dual-stream boundary optimization for remote sensing image semantic segmentation-Reference-Cited by-同舟云学术

MAE-BG: dual-stream boundary optimization for remote sensing image semantic segmentation

Published:2023-04-18 Issue:1 Volume:38 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Yang Ruiqi¹,Zheng Chen²,Wang Leiguang¹³,Zhao Yili¹,Fu Zhitao⁴,Dai Qinling⁵

Affiliation:

1. Institute of Big Data and Artificial Intelligence, Southwest Forestry University, Kunming, China

2. School of Mathematics and Statistics, Henan University, Kaifeng, China

3. Key Laboratory of National Forestry and Grassland Administration on Forestry and Ecological Big Data, Southwest Forestry University, Kunming, Yunnan, China

4. Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, China

5. Art and Design College, Southwest Forestry University, Kunming, Yunnan, China

Funder

the National Natural Science Foundation of China

Key Development and Promotion Project of Yunnan Province

Fund of Reserve Talents for Young and Middle-Aged Academic and Technological Leaders of Yunnan Province

Yunnan Agricultural Basic Research Joint Special Project.

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2023.2190622

Reference59 articles.

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