3D SAR imaging by tomographic processing of multibaseline interferometric data has emerged for operational spaceborne monitoring of forest biomass in incoming or next ESA missions. However, a few open issues, or improvement needs, still stand, in particular of radiometric accuracy of the most diffused superresolution processing, the adaptive Capon method. After its introduction in SAR Tomography by University of Pisa a decade and a half ago, despite the widespread experimental use its basic structure, and issues, remained unchanged. In this work, an alternative improved (double) adaptive algorithm for spaceborne forest SAR Tomography is tested, characterized, and tuned by simulations, showing that it can furnish a better tomographic performance trade-off than Fourier and classic Capon Tomography. First corresponding low frequency real SAR data tests are also performed.
Radiometric Problems in Superresolution 3D Forest SAR Tomography
F. Lombardini;A. Vinciguerra;
2018-01-01
Abstract
3D SAR imaging by tomographic processing of multibaseline interferometric data has emerged for operational spaceborne monitoring of forest biomass in incoming or next ESA missions. However, a few open issues, or improvement needs, still stand, in particular of radiometric accuracy of the most diffused superresolution processing, the adaptive Capon method. After its introduction in SAR Tomography by University of Pisa a decade and a half ago, despite the widespread experimental use its basic structure, and issues, remained unchanged. In this work, an alternative improved (double) adaptive algorithm for spaceborne forest SAR Tomography is tested, characterized, and tuned by simulations, showing that it can furnish a better tomographic performance trade-off than Fourier and classic Capon Tomography. First corresponding low frequency real SAR data tests are also performed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
