DocumentCode :
3691183
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
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
5288
Lastpage :
5291
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"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7327028
Filename :
7327028
Link To Document :
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