Significant Wave Height Retrieval Using XGBoost from Polarimetric Gaofen-3 SAR and Feature Importance Analysis

Significant Wave Height Retrieval Using XGBoost from Polarimetric Gaofen-3 SAR and Feature Importance Analysis

Empirical algorithms have become the mainstream of significant wave height (SWH) retrieval from synthetic aperture radar (SAR). But the plentiful features from multi-polarizations make the selection of input for the empirical model a problem. Therefore, the XGBoost models are developed and evaluated...

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Bibliographic Details
Main Authors: Tianran Song, Qiushuang Yan, Chenqing Fan, Junmin Meng, Yuqi Wu, Jie Zhang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
SWH retrieval
XGBoost
Gaofen-3 SAR wave mode
polarization
feature importance analysis
Online Access:https://www.mdpi.com/2072-4292/15/1/149

Internet

https://www.mdpi.com/2072-4292/15/1/149

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