Title :
Structural classification of forest by means of L-band tomographic SAR
Author :
Marivi Tello;Victor Cazcarra-Bes;Matteo Pardini;Kostas Papathanassiou
Author_Institution :
Deutsches Zentrum fü
fDate :
7/1/2015 12:00:00 AM
Abstract :
Synthetic Aperture Radar Tomography provides the 3D reflectivity of the observed scene. Hence, in a forest scenario, it reflects information relevant to forest structure. However, how and to which extent this information is reflected and which are possible ways to quantify it are still open questions. This paper explores the link between ecological measures of forest structure and the 3D spatial distribution of the peaks in the reflectivity profiles at L-band and, with this, proposes measures for forest structure estimation from tomographic SAR data.
Keywords :
"Vegetation","Tomography","Synthetic aperture radar","Reflectivity","Three-dimensional displays","Compressed sensing","Geophysical measurements"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7327028