Object-Based Multigrained Cascade Forest Method for Wetland Classification Using Sentinel-2 and Radarsat-2 Imagery

Object-Based Multigrained Cascade Forest Method for Wetland Classification Using Sentinel-2 and Radarsat-2 Imagery

The development of advanced and efficient methods for mapping and monitoring wetland regions is essential for wetland resources conservation, management, and sustainable development. Although remote sensing technology has been widely used for detecting wetlands information, it remains a challenge fo...

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Bibliographic Details
Main Authors: Huaxin Liu, Qigang Jiang, Yue Ma, Qian Yang, Pengfei Shi, Sen Zhang, Yang Tan, Jing Xi, Yibo Zhang, Bin Liu, Xin Gao
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Water
Subjects:
object-based multigrained cascade forest
wetland classification
feature selection
Sentinel-2
Radarsat-2
Online Access:https://www.mdpi.com/2073-4441/14/1/82

Internet

https://www.mdpi.com/2073-4441/14/1/82

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