@inproceedings{b41eaa9934db45f0a03015ff526b7abd,
title = "Unwrapped phase estimation via maximum likelihood principle for multi-baseline SAR interferometry",
abstract = "The cycle-property of probability density function (pdf) of the interferometric phase is demonstrated in brief. The normalized baseline pdf is presented in terms of reference baseline to conquer the constant 2π-cycle. Accordingly, a novel unwrapped phase estimation method, based on a maximum likelihood (ML) principle technique, is imported for multi-baseline SAR interferometry. Simulations corroborate the validity of maximum likelihood unwrapped phase estimation method proposed in this work.",
keywords = "Multi-baseline SAR interferometry, maximum likelihood, normalized pdf, unwrapped phase",
author = "Yanan You and Huaping Xu and Chunsheng Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",
year = "2016",
month = nov,
day = "1",
doi = "10.1109/IGARSS.2016.7730685",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6449--6451",
booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings",
address = "美国",
}