@inproceedings{58c76ed15032411eb9b203d8106cc536,
title = "Polarimetric SAR Image Scattering Center Estimation via Atomic Norm Minimization",
abstract = "Polarization is one of the most important characteristics of electromagnetic wave, which offers another dimension of information to radar automatic target recognition (RATR). The combination of polarization and SAR technology is a vital research direction for RATR. Fusing the polarization information into the scattering center model is able to refine the scattering structural information. This paper proposes a fully-polarimetric SAR images scattering center estimation method based on multiple measurement vector (MMV) atomic norm minimization (ANM) model. The experimental results indicate the superiorities of the proposed method in terms of accuracy and robustness.",
keywords = "ANM, MMV, RATR, SAR, scattering center",
author = "Ying Xi and Yanhua Wang and Wei Chen and Haibo Liu and Yang Li",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICSIDP47821.2019.9173376",
language = "English",
series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
address = "United States",
}