Learning to Detect Cloud and Snow in Remote Sensing Images from Noisy Labels-Reference-Cited by-同舟云学术

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Learning to Detect Cloud and Snow in Remote Sensing Images from Noisy Labels

Published:2024-07-07 Issue: Volume:43 Page:7338-7341
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Liu Zili¹,Chen Hao²,Li Wenyuan³,Chen Keyan¹,Qi Zipeng¹,Liu Chenyang¹,Zou Zhengxia¹,Shi Zhenwei¹

Affiliation:

1. Beihang University

2. Shanghai Artificial Intelligence Laboratory

3. University of Hong Kong

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640405.pdf?arnumber=10640405

Reference13 articles.

1. Cloud detection methods for remote sensing images: a survey;Liu;Chinese Space Science and Technology,2023

2. A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection

3. Image Segmentation Using Deep Learning: A Survey

4. Utilizing Multilevel Features for Cloud Detection on Satellite Imagery

5. CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning

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