@inproceedings{4c9dda37f0fc41abac44d9ef1d8d01a3,
title = "A novel autofocusing technique based on PGA for the polarimetric SAR application",
abstract = "The phase gradient autofocus (PGA) algorithm is widely used for synthetic aperture radar (SAR) autofocusing. In practice, polarizations of electromagnetic waves result in phase error estimates with different precisions obtained by PGA, yielding distinctly focused images for different polarization channels after compensating the phase errors. In this paper, a new autofocusing technique for the polarimetric application is proposed. The algorithm employs the redundancy of phase error information among different polarization channels. The phase error estimate obtained by different polarization channels which optimizes the image quality with the highest image contrast is treated as the final estimation result. In comparison with the standard PGA, the performance of the proposed approach is demonstrated using real data from airborne SAR.",
keywords = "phase gradient autofocus (PGA), polarization, synthetic aperture radar (SAR)",
author = "Zheng Lu and Zegang Ding and Teng Long and Liang Chen",
year = "2012",
doi = "10.1109/IGARSS.2012.6352273",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5872--5875",
booktitle = "IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium",
address = "United States",
note = "32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",
}