@inproceedings{54d97e749c5543d0a04a205adc129fb0,
title = "Polarimetric SAR estimation based on non-local means",
abstract = "During the past few years, the non-local (NL) means [1] have proved their efficiency for image denoising. This approach assumes there exist enough redundant patterns in images to be used for noise reduction. We suggest that the same assumption can be done for polari-metric synthetic aperture radar (PolSAR) images. In its original version, the NL means deal with additive white Gaussian noise, but several extensions have been proposed for non-Gaussian noise. This paper applies the methodology proposed in [2] to PolSAR data. The proposed filter seems to deal well with the statistical properties of speckle noise and the multi-dimensional nature of such data. Results are given on synthetic and L-Band E-SAR data to validate the proposed method.",
keywords = "Maximum likelihood, Non local means, Polarimetric synthetic aperture radar (PolSAR)",
author = "Deledalle, \{Charles Alban\} and Florence Tupin and Lo{\"i}c Denis",
year = "2010",
month = jan,
day = "1",
doi = "10.1109/IGARSS.2010.5653936",
language = "English",
isbn = "9781424495658",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2515--2518",
booktitle = "2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010",
note = "2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",
}