SAR Radiometric Calibration Based on Differential Geometry: From Theory to Experimentation on SAOCOM Imagery

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Publicat a:Remote Sensing vol. 15, no. 5 (2023), p. 1286
Autor principal: Imperatore, Pasquale
Altres autors: Gerardo Di Martino
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MDPI AG
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022 |a 2072-4292 
024 7 |a 10.3390/rs15051286  |2 doi 
035 |a 2785232386 
045 2 |b d20230101  |b d20231231 
084 |a 231556  |2 nlm 
100 1 |a Imperatore, Pasquale  |u Institute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), 80124 Napoli, Italy 
245 1 |a SAR Radiometric Calibration Based on Differential Geometry: From Theory to Experimentation on SAOCOM Imagery 
260 |b MDPI AG  |c 2023 
513 |a Journal Article 
520 3 |a The modeling and simulation of topography-induced imaging distortions are crucial for consistent radiometric information exploitation in current and forthcoming SAR-based Earth observation missions with a high spatial and temporal resolution, with relevance in several applications. In this paper, for the first time, we specifically investigate the compensation of topography-induced radiometric distortions affecting SAR images acquired by the L-band Argentinian satellite SAOCOM. We adopt a recently developed calibration method relying on an analytical formulation derived in the rigorous framework of the differential geometry of surfaces. We first provide an original interpretation of the analytical formulation, thus providing further insights into the relevant area-stretching-based formalism. Then, the numerical implementation of the method is specialized to systematically process the data acquired by SAOCOM sensors; hence, the resulting sensor-specific prototype solution processor is employed in this study. Finally, experiments performed over a real scenario in the southern part of Italy, characterized by large topography variations, are presented and discussed, thus elucidating the effectiveness of the adopted method applied to SAOCOM images. The adopted effective SAR calibration strategy opens up the way to its operational use in large-scale SAOCOM data processing. 
653 |a Temporal resolution 
653 |a Data processing 
653 |a Data acquisition 
653 |a Differential geometry 
653 |a Microprocessors 
653 |a Calibration 
653 |a Topography 
653 |a Satellite imagery 
653 |a Synthetic aperture radar 
653 |a Sensors 
653 |a Image acquisition 
653 |a Radar imaging 
653 |a Experimentation 
653 |a Satellites 
653 |a Geometry 
700 1 |a Gerardo Di Martino  |u Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Napoli, Italy 
773 0 |t Remote Sensing  |g vol. 15, no. 5 (2023), p. 1286 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2785232386/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/2785232386/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2785232386/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch