Generalized-Capon Method for Diff-Tomo SAR Analyses of Decorrelating Scatterers

Remote Sensing

Fabrizio Lombardini¹  Francesco Cai² 

[1] Department of Information Engineering, University of Pisa, via Caruso 16, 56122 Pisa, Italy;formerly with University of Pisa, now at Leonardo S.p.A., via Einstein 35, 50013 Florence, Italy;

关键词: SAR tomography;    decorrelation;    volumetric scatterers;    superresolution image focusing;    interferometric information extraction;    multidimensional signal processing;    array processing;    spectral analysis;   

DOI  :  10.3390/rs11040412

来源: DOAJ

【 摘 要 】

In synthetic aperture radar (SAR) remote sensing, Differential Tomography (Diff-Tomo) is developing as a powerful crossing of the mature Differential SAR Interferometry and the emerged 3D SAR Tomography. Diff-Tomo produces advanced 4D (3D+Time) SAR imaging capabilities, extensively applied to urban deformation monitoring. More recently, it has been shown that, through Diff-Tomo, identifying temporal spectra of multiple height-distributed decorrelating scatterers, the important decorrelation-robust forest Tomography functionality is possible. To loosen application constraints of the related main experimented full model-based processing, and develop other functionalities, this work presents an adaptive, just semi-parametric, generalized-Capon Diff-Tomo method, first conceived at University of Pisa in 2013, for joint extraction of height and dynamical information of natural distributed (volumetric) scatterers, with its formalization and a series of insights. Particular reference is given to the important functionality of the separation of different decorrelation mechanisms in forest layers. Representative simulated and P-band forest data sample results are also shown. The new Diff-Tomo method is getting a flexible and rich decorrelation-robust Tomography functionality, and is able to profile height-varying temporal decorrelation, for significantly distributed scatterers.

【 授权许可】

Unknown