Global River Monitoring Using Semantic Fusion Networks

Global river monitoring is an important mission within the remote sensing society. One of the main challenges faced by this mission is generating an accurate water mask from remote sensing images (RSI) of rivers (RSIR), especially on a global scale with various river features. Aiming at better water...

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Auteurs principaux: Zhihao Wei, Kebin Jia, Xiaowei Jia, Ankush Khandelwal, Vipin Kumar
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2020-08-01
Collection:Water
Sujets:
convolution
encoder–decoder network
feature extraction
remote sensing image of river
semantic fusion
semi-supervised learning
Accès en ligne:https://www.mdpi.com/2073-4441/12/8/2258
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