Title
Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived From a Geodesic Distance.
Abstract
In this letter, we propose a novel technique for obtaining scattering components from polarimetric synthetic aperture radar (PolSAR) data using the geodesic distance on the unit sphere. This geodesic distance is obtained between an elementary target and the observed Kennaugh matrix, and it is further utilized to compute a similarity measure between scattering mechanisms. The normalized similarity ...
Year
DOI
Venue
2017
10.1109/LGRS.2017.2778749
IEEE Geoscience and Remote Sensing Letters
Keywords
DocType
Volume
Level measurement,Symmetric matrices,Matrix decomposition,Radar scattering,Radar,Power measurement
Journal
15
Issue
ISSN
Citations 
1
1545-598X
1
PageRank 
References 
Authors
0.35
12
3
Name
Order
Citations
PageRank
Debanshu Ratha152.78
Avik Bhattacharya25520.13
Alejandro C. Frery336838.29