Towards a Physical Quantitative Assessment of Model-Based PolSAR Decompositions
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http://hdl.handle.net/10045/88347
| Title: | Towards a Physical Quantitative Assessment of Model-Based PolSAR Decompositions |
|---|---|
| Authors: | Ballester-Berman, J. David | Ainsworth, Thomas L. | Lopez-Sanchez, Juan M. |
| Research Group/s: | Señales, Sistemas y Telecomunicación |
| Center, Department or Service: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Investigación Informática |
| Keywords: | Polarimetría | Vegetación | Radar de apertura sintética | Descomposiciones |
| Knowledge Area: | Teoría de la Señal y Comunicaciones |
| Issue Date: | 29-Jan-2019 |
| Abstract: | We claim that there still remain some open issues regarding the quantitative assessment of model-based PolSAR decomposition. The performance analysis for real data is hampered by the usual unavailability of the corresponding ground-truth data for comparison. In addition, due to modelling issues there appear some parameters whose validation and interpretation are subject to a high ambiguity, as it is the case of vegetation orientation and randomness. The questions that remain to be answered are: What is the actual role of them? Can we assign them a consistent physical interpretation or are they acting just as fitting parameters? |
| Description: | Proceedings of the 9th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry (POLinSAR'2019), Frascati, Italia. |
| Sponsor: | Ministerio de Ciencia, Innovación y Universidades, Agencia Española de Investigación (AEI) y Fondos FEDR. Proyecto TEC2017-85244-C2-1-P. |
| URI: | http://hdl.handle.net/10045/88347 |
| Language: | eng |
| Type: | info:eu-repo/semantics/conferenceObject |
| Rights: | © The authors |
| Peer Review: | si |
| Appears in Collections: | INV - SST - Comunicaciones a Congresos, Conferencias, etc. |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
 PolInSAR2019_abstract_ballester-berman_v2.pdf | 171,13 kB | Adobe PDF | Open Preview | |
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