Interpretable POLSAR Image Classification Based on Adaptive-Dimension Feature Space Decision Tree

Interpretable POLSAR Image Classification Based on Adaptive-Dimension Feature Space Decision Tree

Decision tree method has been applied to POLSAR image classification, due to its capability to interpret the scattering characteristics as well as good classification accuracy. Compared with popular machine learning classifiers, decision tree approach can explain the scattering process of certain ty...

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Bibliographic Details
Main Authors: Qiang Yin, Jianda Cheng, Fan Zhang, Yongsheng Zhou, Luyi Shao, Wen Hong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Polarimetric SAR
feature space
decision tree
terrain classification
Online Access:https://ieeexplore.ieee.org/document/9194017/

Internet

https://ieeexplore.ieee.org/document/9194017/

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