MUSIC and ICA algorithms applied to full polarimetric ISAR imaging

Author

Hall, Jeffrey ; Tjuatja, Saibun

Author_Institution

Wave Scattering Res. Center, Univ. of Texas at Arlington, Arlington, TX, USA

fYear

2012

fDate

22-27 July 2012

Firstpage

5774

Lastpage

5777

Abstract

This paper provides an overview of the results from application of the combined MUSIC-ICA algorithm to a fully polarimetric radar dataset. The results show that the application of the algorithm over two of the three dimensions of the data cube formed from the polarization, range and angle data spaces produces unique results which can yield information on target signatures, which would otherwise be indiscernible. The practical application of this combined algorithm has the potential to yield added robustness to target identification and characterization.

Keywords

geophysical image processing; geophysical techniques; geophysics computing; image classification; radar imaging; synthetic aperture radar; MUSIC-ICA algorithm; angle data spaces; data cube dimensions; full polarimetric ISAR imaging; fully polarimetric radar dataset; target characterization; target identification; target signatures; Algorithm design and analysis; Imaging; Multiple signal classification; Radar imaging; Radar polarimetry; Scattering; Standards; ICA; ISAR; MUSIC; Radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352298

Filename

6352298