Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images-Reference-Cited by-同舟云学术

Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images

Published:2024 Issue: Volume:33 Page:881-896
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhang Jue¹^ORCID,Jia Xiuping¹^ORCID,Zhou Jun²^ORCID,Zhang Junpeng³^ORCID,Hu Jiankun⁴^ORCID

Affiliation:

1. School of Engineering and Technology, University of New South Wales, Canberra, ACT, Australia

2. School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia

3. Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education of China, International Research Center of Intelligent Perception and Computation, School of Artificial Intelligence, Xidian University, Xi’an, China

4. School of Systems and Computing, University of New South Wales, Canberra, ACT, Australia

Funder

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10351041.pdf?arnumber=10351041

Reference57 articles.

1. Environmental impacts of solar energy systems: A review

2. Terawatt-scale photovoltaics: Trajectories and challenges

3. Automatic solar photovoltaic panel detection in satellite imagery

4. Automatic detection of solar photovoltaic arrays in high resolution aerial imagery

5. Convolutional SVM Networks for Object Detection in UAV Imagery

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