Paper Info
Title
A Generalized Volume Scattering Model-Based Vegetation Index From Polarimetric SAR Data
Abstract
In this letter, we propose a novel vegetation index from polarimetric synthetic-aperture radar (PolSAR) data using the generalized volume scattering model. The geodesic distance between two Kennaugh matrices projected on a unit sphere proposed by Ratha <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</italic> is used in this letter. This distance is utilized to compute a similarity measure between the observed Kennaugh matrix and generalized volume scattering models. A factor is estimated corresponding to the ratio of the minimum to the maximum geodesic distances between the observed Kennaugh matrix and the set of elementary targets: trihedral, cylinder, dihedral, and narrow dihedral. This factor is then scaled and multiplied with the similarity measure to obtain the novel vegetation index. The proposed vegetation index is compared with the radar vegetation index (RVI) proposed by Kim and van Zyl. A time series of RADARSAT-2 data acquired during the Soil Moisture Active Passive Validation Experiment 2016 (SMAPVEX16-MB) campaign in Manitoba, Canada, is used to assessing the proposed RVI.
Year
DOI
Venue
2019
10.1109/lgrs.2019.2907703
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Scattering,Vegetation mapping,Agriculture,Indexes,Solid modeling,Spaceborne radar
Radar,Polarimetry,Similarity measure,Matrix (mathematics),Cylinder,Remote sensing,Scattering,Geodesic,Mathematics,Unit sphere
Journal
Volume
Issue
ISSN
16
11
1545-598X
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Debanshu Ratha152.78
Dipankar Mandal244.25
Vineet Kumar319626.07
Heather McNairn400.68
Avik Bhattacharya55520.13
Alejandro C. Frery636838.29