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Open AccessArticle

Cross Sensor Simulation of Tomographic SAR Stacks

Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria (DEIB), via Ponzio 34/5, 20133 Milano (MI), Italy
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Remote Sens. 2019, 11(18), 2099; https://doi.org/10.3390/rs11182099
Received: 1 August 2019 / Revised: 28 August 2019 / Accepted: 2 September 2019 / Published: 9 September 2019
This paper presents an algorithm for simulating tomographic synthetic aperture radar (SAR) data based on another stack actually gathered by a real acquisition system. Through the procedure here proposed, the simulated system can be evaluated according to its capability to image complex natural media rather than reference point targets. This feature is particularly important whenever the biophysical properties of the target of interest must be preserved and cannot be easily modeled. The system to be simulated may be different from the original one concerning resolution, off-nadir angles, bandwidth and central frequency. The algorithm here proposed handles these differences by properly taking into account the wavenumbers of the target illuminated by the real survey and requested by the simulated one. The complex images constituting the synthetic stack are associated with the effective vertical interferometric wavenumber peculiar of the geometry to be simulated, regardless of the original data. Furthermore, the three-dimensional resolution cell of the simulated tomographic system is consistent with the simulated geometry concerning size and spatial orientation. These two latter features cannot be guaranteed by simply filtering the original stack. The simulator here proposed has been used to simulate the tomographic stack expected from the forthcoming European Space Agency (ESA) BIOMASS mission. The relationship between baseline distribution and 3D focusing capability was explored; special attention has been paid to the robustness of tomographic power at being a good proxy for the above ground biomass in tropical regions. View Full-Text
Keywords: SAR; tomography; simulation; wavenumbers; orbits; biomass SAR; tomography; simulation; wavenumbers; orbits; biomass
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MDPI and ACS Style

Mariotti d’Alessandro, M.; Tebaldini, S. Cross Sensor Simulation of Tomographic SAR Stacks. Remote Sens. 2019, 11, 2099.

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