Feature extraction for electrically large ducts using adaptive Gaussian processing

Author

Trintinalia, L.C. ; Hao Ling

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA

Volume

1

fYear

1996

fDate

21-26 July 1996

Firstpage

626

Abstract

We present a new inverse SAR image processing algorithm, that allows the analysis of multi-aspect, multi-frequency scattered signals containing not only persistent scattering centers but also other strong aspect-dependent mechanisms, such as ducts. This technique allows the automatic separation of those persistent scattering center features from the more angular dependent mechanisms. It should be particularly useful as a diagnostic tool for analyzing chamber measurement data.

Keywords

Gaussian processes; adaptive signal processing; electromagnetic wave scattering; feature extraction; image recognition; radar cross-sections; radar imaging; synthetic aperture radar; adaptive Gaussian processing; angular dependent mechanisms; chamber measurement data; diagnostic tool; electrically large ducts; feature extraction; inverse SAR image processing algorithm; multi-aspect multi-frequency scattered signals; persistent scattering centers; strong aspect-dependent mechanisms; Algorithm design and analysis; Data analysis; Ducts; Feature extraction; Image analysis; Image processing; Particle measurements; Scattering; Signal analysis; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1996. AP-S. Digest

Conference_Location

Baltimore, MD, USA

Print_ISBN

0-7803-3216-4

Type

conf

DOI

10.1109/APS.1996.549676

Filename

549676