2017年6月16日
A comparison between real and complex Schott spherical symmetry test for PolSAR data analysis
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- ,
- ,
- ,
- 開始ページ
- 4277
- 終了ページ
- 4280
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1109/ICASSP.2017.7952963
- 出版者・発行元
- IEEE
© 2017 IEEE. Most of the tests proposed in the literature to verify if a given random multivariate dataset fits a spherical or elliptical distribution are designed for real valued data and rely on the estimation of high order moment matrices. Recently, a test that considers complex random vectors, derived based on the Schott spherical symmetry test was proposed aiming in a more proper analysis of PolSAR data. Results showed its effectiveness in discriminating data that fits or not the complex spherically invariant random vector model (product model), inherent to high resolution heterogeneous PolSAR systems. Within this context, this paper further extends the assessment of the referred test efficiency, verifying its performance under different stochastic model assumptions and comparing the results with the ones achieved when the Schott test derived for real random vectors is employed.
- リンク情報
-
- DOI
- https://doi.org/10.1109/ICASSP.2017.7952963
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000414286204088&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85023774164&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85023774164&origin=inward
- ID情報
-
- DOI : 10.1109/ICASSP.2017.7952963
- ISSN : 1520-6149
- SCOPUS ID : 85023774164
- Web of Science ID : WOS:000414286204088