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

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-...

Full description

Bibliographic Details
Main Authors: Bin Wang, Linghui Xia, Dongmei Song, Zhongwei Li, Ning Wang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
sea ice classification
ensemble learning
weight voting
Sentinel-1 imagery
Online Access:https://www.mdpi.com/2072-4292/13/19/3945

Similar Items

Similar Items