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- W4313151538 abstract "The new ESA TomoSense campaign includes both airborne and in-situ measurements over a temperate forest in northern Germany. SAR surveys are complemented by several LiDAR acquisition thus making one of the most complete datasets available for forest studies. Tomographic, fully-polarimetric and opposite views acquisitions are available at P- L- and C-bands; furthermore, both monostatic and bistatic data are available at L- and C-bands. These latter acquisition modes required ad-hoc calibration strategies for clean tomograms to be obtained. Also, the baseline distribution of the L-band data motivated the creation of a new model-based tomographic approach for mono-bistatic pairs. The effectiveness of the proposed processing chain is here proved with coherence maps and tomographic profiles. The quality of the tomographic reconstruction is also confirmed by comparing estimates of biophysical parameters with LiDAR measurements." @default.
- W4313151538 created "2023-01-06" @default.
- W4313151538 creator A5030739876 @default.
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- W4313151538 date "2022-07-17" @default.
- W4313151538 modified "2023-10-16" @default.
- W4313151538 title "Calibration and Bistatic SAR Tomography Using ESA Tomosense Data" @default.
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- W4313151538 doi "https://doi.org/10.1109/igarss46834.2022.9883284" @default.
- W4313151538 hasPublicationYear "2022" @default.
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