A Complex-Valued PolSAR Image Segmentation Network With Lovász-Softmax Loss Optimization

Author:

Guo Rui1ORCID,Zhao Xiaopeng2ORCID,Guo Liang3ORCID,Xu Ruiqi4,Liang Yi5ORCID

Affiliation:

1. School of Automation, Northwestern Polytechnical University, Xi’an, China

2. China Airborne Missile Academy, Luoyang, China

3. School of Physics and Optoelectronic Engineering, Xidian University, Xi’an, China

4. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China

5. National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China

Funder

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference24 articles.

1. A tutorial on synthetic aperture radar

2. Deep learning as applied in SAR target recognition and terrain classification;Xu;J. Radars,2017

3. Polarimetric sar image visualization and interpretation with covariance matrix invariants

4. Polarimetric SAR target scattering interpretation in rotation domain: Theory and application;Chen;J. Radars,2017

5. Classification of SAR and PolSAR images using deep learning: a review

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