Cross-supervised learning for cloud detection-Reference-Cited by-同舟云学术

Cross-supervised learning for cloud detection

Published:2023-01-03 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Wu Kang¹²,Xu Zunxiao¹²,Lyu Xinrong¹²,Ren Peng¹²

Affiliation:

1. College of Oceanography and Space Informatics, China University of Petroleum (East China), 266580, Qingdao, China

2. Ministry of Natural Resources of the People's Republic of China, Technology Innovation Center for Maritime Silk Road Marine Resources and Environment Networked Observation, 266580, Qingdao, China

Funder

The Innovative Research Team Program for Young Scholars at Universities in Shandong Province; National Key Research and Development Program of China

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2147298

Reference48 articles.

1. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

2. Cloud detection algorithm comparison and validation for operational Landsat data products

3. Semi-Supervised Cloud Detection in Satellite Images by Considering the Domain Shift Problem

4. Unsupervised Domain-Invariant Feature Learning for Cloud Detection of Remote Sensing Images;Guo J.;IEEE Transactions on Geoscience and R Emote Sensing,2021

5. CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence

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