Title :
SAR image simulation for the assessment of despeckling techniques
Author :
Martino, Gerardo Di ; Poderico, Mariana ; Poggi, Giovanni ; Riccio, Daniele ; Verdoliva, Luisa
Author_Institution :
Univ. di Napoli Federico II, Naples, Italy
Abstract :
We propose a new framework for the quantitative assessment of SAR despeckling techniques, based on physical-level simulation of SAR images corresponding to canonical scenes. Thanks to the simulator, we can generate multiple SAR images of the same scene which differ only in the speckle content, and, hence, a true multilook SAR image, with an arbitrarily large number of looks, to use as “speckle-free” reference. Based on this concept, we select a small set of canonical scenes and, for each of them, a suitable set of objective measures which account for speckle suppression and image feature preservation. We gain insight into the system reliability by comparing the indications it gives for some sample despeckling filters with those obtained by expert visual inspection of the filtered images.
Keywords :
feature extraction; natural scenes; radar imaging; synthetic aperture radar; SAR despeckling techniques assessment; SAR image simulation; canonical scenes; image feature preservation; image filtering; multiple SAR images; physical-level simulation; speckle content; speckle suppression; speckle-free reference; system reliability; true multilook SAR image; Image resolution; Maximum likelihood detection; Nonlinear filters; Remote sensing; Speckle; Synthetic aperture radar; Synthetic aperture radar (SAR); quality assessment; speckle reduction;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351163