Structural classification of forest by means of L-band tomographic SAR

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2015-November, Issue , 2015, Pages 5288-5291

  Tello, Marivi ^a   Cazcarra Bes, Victor ^a   Pardini, Matteo ^a   Papathanassiou, Kostas ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Compressive Sensing; Forest Structure; Synthetic Aperture Radar; Tomography

Indexed keywords

EID: 84962553717     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2015.7327028     Document Type: Conference Paper

References (8)

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2. V. Cazcarra-Bes, M. Tello, K. Papathanassiou, "3D Forest Structure Estimation from SAR Tomography by means of a Full Rank Polarimetric Inversion based on Compressive Sensing", Proceedings of PolInSAR 2015, Frascatti, 26-30 January 2015.
3. E. Aguilera, M. Nannini, A. Reigber. "Wavelet-based compressed sensing for SAR tomography of forested areas". IEEE Trans. Geosci. Remote Sens., Vol. 51, No. 12, pp. 5283-5295, Dec. 2013
4. Reineke LH: "Perfecting a stand-density index for even-aged forests". J Agr Res 46, pp. 627-638, 1933
5. Pretzsch H (2009): Forest Dynamics, Growth and Yield. Springer Verlag, Berlin, pp. 281-281, 2009
6. S. Diamond, E. Chu, S. Boyd. CVXPY: A Python-Embedded Modeling Language for Convex Optimization. http://cvxpy. org
7. M. Tello, M. Pardini, K. Papathanassiou. "Towards Forest Structure Characteristics Retrieval from SAR Tomographic Profiles", Proceedings on EUSAR 2014, Berlin, 3-5 June 2014.
8. H. Alt, M. Godau. "Computing the Frechet distance between two polygonal curves". Internat. J. Comput. Geom. Appl., Vol. 5, pp. 75-91, 1995.