Scattering Feature Set Optimization and Polarimetric SAR Classification Using Object-Oriented RF-SFS Algorithm in Coastal Wetlands

Scattering Feature Set Optimization and Polarimetric SAR Classification Using Object-Oriented RF-SFS Algorithm in Coastal Wetlands

The utilization of advanced remote sensing methods to monitor the coastal wetlands is essential for conservation and sustainable development. With multiple polarimetric channels, the polarimetric synthetic aperture radar (PolSAR) is increasingly employed in land cover classification and information...

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Bibliographic Details
Main Authors: Yuanyuan Chen, Xiufeng He, Jia Xu, Rongchun Zhang, Yanyan Lu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
polarimetric sar
random forest model
parameter set optimization
coastal wetlands
classification
Online Access:https://www.mdpi.com/2072-4292/12/3/407

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https://www.mdpi.com/2072-4292/12/3/407

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