Conference Agenda
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Daily Overview |
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TomoSAR Methods Location: Red Hall Session Chair: Matteo Pardini, German Aerospace Center (DLR) Session Chair: Stefano Tebaldini, Politecnico di Milano | |
| Presentation 1 | |
9:00am - 9:20am
Single baseline Tomography with the PolInSAR two layer model 1: Technical University of Catalonia (UPC), Spain; 2: Institut d'Estudis Espacials de Catalunya (IEEC), Spain Polarimetric SAR Interferometry (PolInSAR) merges polarimetric SAR, offering the ability to distinguish between different scattering types within individual resolution cells, and interferometric SAR, which provides sensitivity to the vertical stratification of scatterers. The PolInSAR two layer model represents the signal as a combination of the ground and the volume contributions. It has been especially useful to model the PolInSAR signal over vegetation. Taking advantage of the fact that these two components have different polarimetric and interferometric characteristics, it is possible to extract physical parameters such as the ground phase or the height of the forest [1]. Recently, this model has also been used to separate and extract fully polarimetric signatures from the ground and volume, as a polarimetric decomposition [2]. When several baselines are available, the vertical reflectivity profile of the vegetation can be estimated. This is equivalent to a synthetic aperture in the across-track dimension, as done in SAR Tomography. In this sense, the vertical reflectivity profile estimation is converted into a spectral estimation. Assuming the PolInSAR two layer model, the vertical reflectivity of the ground and volume components define their interferometric coherences, linking polarimetric and interferometric dimensions of the data [3]. In this work, we propose exploiting the spatial variability of the volume layer height across the image, instead of requiring additional baselines, to estimate its profile. The additional assumption then is that the volume profile of spatially close stands may be seen as the same normalized profile scaled in height. The proposed technique has been evaluated with airborne data from the DLR FSAR sensor over the AfriSAR campaign at P-band, providing a reasonable volume profile over tropical forests when using a single baseline. This technique could be very relevant for the BIOMASS mission, where only a limited number of baselines will be available during the interferometric phase, allowing the analysis of the forest vertical profiles and its changes over time. References [1] S. Cloude and K. Papathanassiou, “Three-stage inversion process for polarimetric SAR interferometry,” IEE Proceedings-Radar, Sonar and Navigation, vol. 150, no. 3, pp. 125–134, 2003. [2] A. Alonso-Gonzalez and K. P. Papathanassiou, “Multibaseline two layer model polinsar ground and volume separation,” in EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 2018, pp. 1–5. [3] A. Alonso-González, N. Romero-Puig, C. López-Martínez, and K. P. Papathanassiou, “Polarimetric Ground and Volume Decomposition by means of PolInSAR two layer model,” Submitted to IEEE Transactions on Geoscience and Remote Sensing, under review. | |
