Blind estimation of interferometric SAR phase images through fuzzy matching-pursuits

2002 ◽  
Author(s):  
Bruno Aiazzi ◽  
Luciano Alparone ◽  
Stefano Baronti ◽  
Massimo Bianchini
Keyword(s):  
Blind Estimation ◽  
Matching Pursuits ◽  
Fuzzy Matching ◽  
Phase Images ◽  
Interferometric Sar

scholarly journals Filtering of Interferometric SAR Phase Images as a Fuzzy Matching-Pursuit Blind Estimation

2005 ◽  
Vol 2005 (20) ◽  
Author(s):  
Bruno Aiazzi ◽  
Stefano Baronti ◽  
Massimo Bianchini ◽  
Alessandro Mori ◽  
Luciano Alparone
Keyword(s):  
Matching Pursuit ◽  
Blind Estimation ◽  
Fuzzy Matching ◽  
Phase Images ◽  
Interferometric Sar

scholarly journals Interferometric SAR Phase Denoising Using Proximity-Based K-SVD Technique

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2684
Author(s):  
Chandrakanta Ojha ◽  
Adele Fusco ◽  
Innocenzo M. Pinto
Keyword(s):  
Noise Reduction ◽  
Synthetic Data ◽  
Sar Interferometry ◽  
Phase Image ◽  
Redundant Representations ◽  
X Band ◽  
Interferometric Phase ◽  
Phase Images ◽  
Mt Etna ◽  
Interferometric Sar

This paper addresses the problem of interferometric noise reduction in Synthetic Aperture Radar (SAR) interferometry based on sparse and redundant representations over a trained dictionary. The idea is to use a Proximity-based K-SVD (ProK-SVD) algorithm on interferometric data for obtaining a suitable dictionary, in order to extract the phase image content effectively. We implemented this strategy on both simulated as well as real interferometric data for the validation of our approach. For synthetic data, three different training dictionaries have been compared, namely, a dictionary extracted from the data, a dictionary obtained by a uniform random distribution in [ − π , π ] , and a dictionary built from discrete cosine transform. Further, a similar strategy plan has been applied to real interferograms. We used interferometric data of various SAR sensors, including low resolution C-band ERS/ENVISAT, medium L-band ALOS, and high resolution X-band COSMO-SkyMed, all over an area of Mt. Etna, Italy. Both on simulated and real interferometric phase images, the proposed approach shows significant noise reduction within the fringe pattern, without any considerable loss of useful information.

New trends in despeckling: undecimated-wavelet shrinkage and fuzzy matching-pursuits estimation

2002 ◽  
Author(s):  
Bruno Aiazzi ◽  
Luciano Alparone ◽  
Fabrizio Argenti ◽  
Stefano Baronti
Keyword(s):  
Wavelet Shrinkage ◽  
Matching Pursuits ◽  
Fuzzy Matching ◽  
Undecimated Wavelet

Joint Blind Estimation of Channel Length and Noise Variance in OFDM Systems

2011 ◽  
Vol E94-B (12) ◽  
pp. 3614-3617
Author(s):  
Bin SHENG ◽  
Pengcheng ZHU ◽  
Xiaohu YOU
Keyword(s):  
Channel Length ◽  
Blind Estimation ◽  
Ofdm Systems ◽  
Noise Variance

A METHOD FOR AUTOMATIC BLIND ESTIMATION OF ADDITIVE NOISE VARIANCE IN DIGITAL IMAGES

2010 ◽  
Vol 69 (19) ◽  
pp. 1681-1702
Author(s):  
V. V. Lukin ◽  
S. K. Abramov ◽  
A. V. Popov ◽  
P. Ye. Eltsov ◽  
Benoit Vozel ◽  
...  
Keyword(s):  
Additive Noise ◽  
Digital Images ◽  
Blind Estimation ◽  
Noise Variance
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