@inproceedings{a58ba453997447cbab94535c7520aa29,
title = "A fully-polarized unitary MUSIC for polarimetric SAR tomography",
abstract = "In this paper, a fully-polarized unitary multiple signal classification (MUSIC) for polarimetric SAR tomography is proposed. Compared with the classical MUSIC, unitary MUSIC utilizes the conjugate of complex sampling data to achieve higher resolution when the polarimetric SAR tomography has a small number of baselines. The combination of unitary MUSIC and full polarization permits to further reduce the noise of sample covariance matrix on the basis of multilooking consisting of averaging pixels. By making full use of the target's fully-polarized information, this algorithm not only improves the resolution in the elevation dimension but also obtains the accurate polarimetric scattering matrix (PSM) of a target. Simulation results show that this algorithm has better performance than the popular distributed compressed sensing (DCS).",
keywords = "Polarimetric, SAR tomography, Unitary MUSIC",
author = "Lingyu Kong and Xiaoyu He and Xiaojian Xu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019 ; Conference date: 09-09-2019 Through 13-09-2019",
year = "2019",
month = sep,
doi = "10.1109/ICEAA.2019.8879343",
language = "英语",
series = "Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "964--967",
booktitle = "Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019",
address = "美国",
}