1. Alessio Di Simone Tutor: Daniele Riccio XXIX Cycle - I year presentation Information extraction from a single SAR image

2. My personal background MSc in Telecommunications Engineering – Università di Napoli Federico II Fellowship – MIUR – FSG research program "Sistemi di telecomunicazione innovativi a larga banda anche con impiego di satelliti per utenze differenziate in materia di sicurezza, prevenzione e intervento in caso di catastrofi naturali” 2 Alessio Di Simone DIETI Electromagnetics Research Group Remote Sensing Research Group

3. Rationale: SAR images dependencies 3 Alessio Di Simone SAR Image dependencies Electromagnetic parametersGeometric parameters Surface parameters Dielectric constant (complex) Roughness Topography (slopes) Sensor parameters Polarization Operating frequency Look angle Resolution Known parameters Unknown parameters

4. Problem Statement: Well-posed? 4 Alessio Di Simone Ill-posedness  Cannot be removed (intrinsic property of the problem)  Could be circumvented but…  Cannot be removed (intrinsic property of the problem)  Could be circumvented but… Need for an adequate direct model One equation, many unknowns Objective Retrieving information from a single SAR image through mathematical and physical (electromagnetic) models Interest Limited availability of resources, e.g., space missions, developing countries

5. (Fractal) Direct Model 5 Alessio Di Simone Natural Surface Model (fBm) Scattering Model (SPM) SAR Image Model

6. Sensitivity Analysis 6 Alessio Di Simone SAR image greatest dependency is on the local incidence angle Normalized SAR Image Intensity Dielectric constant Electrical conductivity [S/m] Hurst coefficient Topothesy [m] Incidence angle [degree] Normalized SAR Image Intensity Incidence angle [degree]

7. Inversion Procedure Electromagnetic homogeneity of the surface, i.e., constant relative permettivity and electrical conductivity. Scale-invariant roughness, i.e., constant Hurst exponent and topothesy at any scale. Electromagnetic homogeneity of the surface, i.e., constant relative permettivity and electrical conductivity. Scale-invariant roughness, i.e., constant Hurst exponent and topothesy at any scale. 7 Alessio Di Simone Small slope regime, i.e., gentle topography. Only for simplifying the inversion procedure Small slope regime, i.e., gentle topography. Only for simplifying the inversion procedure Direct model linearization against local slopes No dependency on azimuth slopes Direct model linearization against local slopes No dependency on azimuth slopes Local slopes can be estimated Hypotheses Sub-hypothesis

8. High-Level Products – I SAR Despeckling (Non Local Means Approach) 8 Alessio Di Simone Original SAR image Despeckled image No resolution degradation

9. High-Level Products – II Local Incidence Angle Map Digital Elevation Model 9 Alessio Di Simone

10. Next years… Research activities: – Complete Model, rather than the linearized one. – Incidence angle estimation, rather than local slopes. – Further information retrieving. Training activities: 10 Alessio Di Simone Credits year 1Credits year 2Credits year 3 123456 Estimated bimonth Summary Check Estimated Check Estimated Check Total Modules30 3363102520-401810-2060-1049 Seminars81,20,9011 55-108 50-1018 Research227573623010-353430-454940-60113 608,28,910 12,960 180

11. List of publications Journals 1.Di Martino, G., Di Simone, A., Iodice, A., Riccio, D., “Shape from Shading and SAR Images,” IEEE Trans. Geosci. and Remote Sens., (resubmitted). Conferences 1.Di Simone, A., Riccio, D., “A New Perspective in Shape from Shading from SAR Images”, IEEE Graduate of the Last Decade (GOLD) Conference, Berlin, June, 5-6, 2014. 2.Di Martino, G., Di Simone, A., Iodice, A., Riccio, D., and Ruello, G., “On shape from Shading and SAR Images: an Overview and a New Perspective,” International Geoscience and Remote Sensing Symposium (IGARSS), Quebec City, July, 13-18, 2014. 3.Di Martino, G., Di Simone, A., Iodice, A., Riccio, D., and Ruello, G., “Polarimetry and Shape from Shading,” POLinSAR Conference, Frascati, January, 26-30, 2015. (accepted) 4.Di Martino, G., Di Simone, A., Iodice, A., Riccio, D., and Ruello, G., “SAR Shape from Shading in Suburban Areas,” Joint Urban Remote Sensing Event (JURSE), Lausanne, March, 30 – April 1, 2015. (accepted) 5.Di Martino, G., Di Simone, A., Iodice, A., Riccio, D., and Ruello, G., “Electromagnetic Model for SAR Shape from Shading,” RiNEm, pp. 277-280, Padova, September, 15-18, 2014. 11 Alessio Di Simone