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Proceedings Paper

Quicklook coherence estimation from multilook SAR imagery
Author(s): Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Massimo Bianchini; Andrea Garzelli; Massimo Selva
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Paper Abstract

This work presents applications of an unsupervised method capable of providing estimates of temporal coherence starting from a pair of multilook detected Synthetic Aperture Radar (SAR) images of the same scene. The method relies on robust measurements of the temporal correlation of speckle patterns between the two pass dates. To this end, a nonlinear transformation aimed at decorrelating the data across time while retaining the multiplicative noise model was defined as the pixel geometric mean and ratio of the two overlapped images. The temporal correlation coefficient (TCC) of speckle is analytically derived from the noise variances, measured in the transformed pair of images as regression coefficients of local standard deviation to local mean, calculated on homogeneous, i.e., non-textured, pixels. Experiments carried out on two pairs of multitemporal SAR observations, from the ERS-1/2 Tandem mission show that coherence quicklooks having comparable accuracy, even though considerably lower spatial resolution than those calculated from single-look complex (SLC) data, are easily obtained for coherence browsing.

Paper Details

Date Published: 22 October 2004
PDF: 8 pages
Proc. SPIE 5574, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV, (22 October 2004); doi: 10.1117/12.567993
Show Author Affiliations
Bruno Aiazzi, Istituto di Fisica Applicata Nello Carrara, CNR (Italy)
Luciano Alparone, Univ. degli Studi di Firenze (Italy)
Stefano Baronti, Istituto di Fisica Applicata Nello Carrara, CNR (Italy)
Massimo Bianchini, Univ. degli Studi di Firenze (Italy)
Andrea Garzelli, Univ. degli Studi di Siena (Italy)
Massimo Selva, Istituto di Fisica Applicata Nello Carrara, CNR (Italy)


Published in SPIE Proceedings Vol. 5574:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV
Manfred Ehlers; Francesco Posa, Editor(s)

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