An unmanned aerial system benchmark object detection dataset for deep learning in outfall surveys-Reference-Cited by-同舟云学术

An unmanned aerial system benchmark object detection dataset for deep learning in outfall surveys

Published:2024-08-13 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Wu Chengbin¹²,Huang Yaohuan¹²,Yang Haijun³,Yao Ling¹²,Liu Yesen⁴,Chen Zhuo¹²

Affiliation:

1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China

2. College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, People’s Republic of China

3. Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing, People’s Republic of China

4. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, People’s Republic of China

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

the Science and Technology Fundamental Resources Investigation Program

National Key Research and Development Plan Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2390443

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3. Cascade R-CNN: Delving Into High Quality Object Detection

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5. Carsey T. P. and H. L. Casanova. 2007. FACE Outfalls Survey Cruise Octorber 6–19 2006.