Title | ||
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Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived From a Geodesic Distance. |
Abstract | ||
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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 Ratha | 1 | 5 | 2.78 |
Avik Bhattacharya | 2 | 55 | 20.13 |
Alejandro C. Frery | 3 | 368 | 38.29 |