Publication Details

Category Text Publication
Reference Category Report articles
URL http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8438075&isnumber=8437291
Title (Primary) Multiscale forest structure estimation from SAR tomography
Title (Secondary) Electronic Proceedings EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 04-07 June, 2018, Aachen, Germany
Author Tello, M.; Cazcarra-Bes, V.; Fischer, R. ORCID logo ; Papathanassiou, K.
Year 2018
Department OESA
Page From 600
Page To 603
Language englisch
Abstract Recently a framework for forest structure based on TomoSAR data has been defined. Based on the spatial distribution of the reflectivity peaks, two complementary descriptors are evaluated at a given scale. This paper highlights the dependence of the structure estimate on scale and shows, through analysis on real and simulated data that the restriction to one single scale does not always ensure a complete characterization of structure. As a consequence, a multiscale framework, accounting for the evolution of the estimated structure across scales is suggested for a better forest structure assessment. Furthermore, the effect of system resolution on the accuracy of the estimation is quantified and thus system requirements for forest applications are determined.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=20949
Tello, M., Cazcarra-Bes, V., Fischer, R., Papathanassiou, K. (2018):
Multiscale forest structure estimation from SAR tomography
Electronic Proceedings EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 04-07 June, 2018, Aachen, Germany
VDE-Verlag, Berlin ; Offenbach, p. 600 - 603