Analysis, evaluation, and comparison of polarimetric SAR speckle filtering techniques
View/Open
Lopez-Martinez2014b.pdf (3,187Mb) (Restricted access)
Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Document typeArticle
Defense date2014-04
Rights accessRestricted access - publisher's policy
Abstract
Speckle noise filtering on polarimetric SAR (PolSAR) images remains a challenging task due to the difficulty to reduce a scatterer-dependent noise while preserving the polarimetric information and the spatial information. This challenge is particularly acute on single look complex images, where little information about the scattering process can be derived from a rank-1 covariance matrix. This paper proposes to analyze and to evaluate the performances of a set of PolSAR speckle filters. The filter performances are measured by a set of ten different indicators, including relative errors on incoherent target decomposition parameters, coherences, polarimetric signatures, point target, and edge preservation. The result is a performance profile for each individual filter. The methodology consists of simulating a set of artificial PolSAR images on which the various filters will be evaluated. The image morphology is stochastic and determined by a Markov random field and the number of scattering classes is allowed to vary so that we can explore a large range of image configurations. Evaluation on real PolSAR images is also considered. Results show that filters performances need to be assessed using a complete set of indicators, including distributed scatterer parameters, radiometric parameters, and spatial information preservation.
CitationFoucher, S.; Lopez, C. Analysis, evaluation, and comparison of polarimetric SAR speckle filtering techniques. "IEEE transactions on image processing", Abril 2014, vol. 23, núm. 4, p. 1751-1764.
ISSN1057-7149
Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6746178
Files | Description | Size | Format | View |
---|---|---|---|---|
Lopez-Martinez2014b.pdf![]() | 3,187Mb | Restricted access |
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder