A Feature Fusion Network for PolSAR Image Classification Based on Physical Features and Deep Features
Author:
Affiliation:
1. Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing and Xi’an Key Laboratory of Big Data and Intelligent Computing, School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China
Funder
Natural Science Foundation of Shaanxi Province
Scientific Research Program Funded by Shaanxi Provincial Education Department
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/8859/10365397/10569015.pdf?arnumber=10569015
Reference18 articles.
1. Polarimetric radar imaging: from basics to applications by Jong-Sen Lee and Eric Pottier
2. A three-component scattering model for polarimetric SAR data
3. A review of target decomposition theorems in radar polarimetry
4. Four-component scattering model for polarimetric SAR image decomposition
5. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier
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