A Two-Round Weight Voting Strategy-Based Ensemble Learning Method for Sea Ice Classification of Sentinel-1 Imagery

Sea ice information in the Arctic region is essential for climatic change monitoring and ship navigation. Although many sea ice classification methods have been put forward, the accuracy and usability of classification systems can still be improved. In this paper, a two-round weight voting strategy-...

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Bibliografski detalji

Glavni autori:	Bin Wang, Linghui Xia, Dongmei Song, Zhongwei Li, Ning Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-10-01
Serija:	Remote Sensing
Teme:	sea ice classification ensemble learning weight voting Sentinel-1 imagery
Online pristup:	https://www.mdpi.com/2072-4292/13/19/3945
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