Paper Info
Title
An Evaluation of PolSAR Speckle Filters
Abstract
Speckle suppression in PolSAR images is an important step for the extraction of meaningful information from PolSAR images, especially for homogeneous extended targets It has been shown that insufficient noise filtering resulting in low equivalent number of look (ENL) values will increase bias on incoherent polarimetric parameters such as the Cloude-Pottier parameters In addition, meaningful high-frequency information, such as edges and point targets must be preserved Adaptive filters have been the most successful in reaching a good compromise between noise suppression and detail preservation A large set of artificial PolSAR images, which ground truth are realizations of Markov random fields, has been generated. Performance metrics are focusing on speckle suppression (ENL), edge preservation, relative errors on polarimetric parameters and point target preservation.
Year
DOI
Venue
2009
10.1109/IGARSS.2009.5417509
IGARSS
Keywords
Field
DocType
adaptive filters,geophysical image processing,image denoising,radar polarimetry,remote sensing by radar,speckle,synthetic aperture radar,Cloude-Pottier parameter,Markov random fields,PolSAR speckle filters,adaptive filters,detail preservation,edge preservation,equivalent number of look values,noise filtering,point target preservation,polarimetric parameters error,speckle suppression,Evaluation,Filtering,PolSAR,Speckle
Computer vision,Random field,Polarimetry,Speckle pattern,Point target,Computer science,Synthetic aperture radar,Remote sensing,Filter (signal processing),Ground truth,Adaptive filter,Artificial intelligence
Conference
Volume
ISSN
Citations 
4
2153-6996
9
PageRank 
References 
Authors
0.72
7
2
Name
Order
Citations
PageRank
Samuel Foucher126130.62
Carlos López-Martínez229424.70