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