Bea2014a

[Bea2014a]
Tensor Based Mean-Shift Polsar Image Enhancement

Author:Beaulieu Jean-Marie

Conference:IEEE International Geoscience and Remote Sensing Symposium

 Quebec City, QC

 July 13-18, 2014, vol. IGARSS 2014, pp. 4544-4547

URL:http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6947503

DOI:10.1109/IGARSS.2014.6947503

Abstract:   The mean-shift approach uses a local estimation of the pdf and moves every data points toward the modes. The direction is calculated from the mean value of surrounding points weighted by a Gaussian kernel. An advantage of the technique is that both radiometric and spatial information could be used in the weighted mean calculation. For polarimetric SAR images, we use likelihood ratio as radiometric similarity or distance measure. The spatial distance between pixels is also used with a Gaussian weight. Contours are well preserved because pixels on one side are dissimilar to pixels on the other side. To improve contour preservation, we examine how the tensor of pixel position can be integrated into the weight calculation. The tensor is calculated from weighted pixel position inside a window. Good PolSAR image smoothing is obtained.

Tensor Based Mean-Shift Polsar Image Enhancement,
Beaulieu Jean-Marie,
IEEE International Geoscience and Remote Sensing Symposium, Quebec City, QC, July 13-18, 2014, pp. 4544-4547.
[Bibtex]

@Conference{Bea2014a,
author = {Beaulieu, Jean-Marie},
editor = {},
title = {Tensor Based Mean-Shift Polsar Image Enhancement},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium},
volume = {IGARSS 2014},
publisher = {},
url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=\&arnumber=6947503},
isbn = {},
doi = {10.1109/IGARSS.2014.6947503},
address = {Quebec City, QC},
pages = {4544-4547},
year = {2014},
month = {July 13-18,},
abstract = {The mean-shift approach uses a local estimation of the pdf and moves every data points toward the modes. The direction is calculated from the mean value of surrounding points weighted by a Gaussian kernel. An advantage of the technique is that both radiometric and spatial information could be used in the weighted mean calculation. For polarimetric SAR images, we use likelihood ratio as radiometric similarity or distance measure. The spatial distance between pixels is also used with a Gaussian weight. Contours are well preserved because pixels on one side are dissimilar to pixels on the other side. To improve contour preservation, we examine how the tensor of pixel position can be integrated into the weight calculation. The tensor is calculated from weighted pixel position inside a window. Good PolSAR image smoothing is obtained.},
mypdf = {11},
keywords = {},
openpdf = {},
openid = {Beaulieu 2014}
}

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Published in: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Date of Conference: 13-18 July 2014
INSPEC Accession Number: 14715367
Conference Location: Quebec City, QC
Publisher: IEEE