Scattering center feature extraction in UWB SAR using Space-Wavenumber Distribution method

Author

Tian Jin ; Jun Lou ; Zhimin Zhou

Author_Institution

Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

fYear

2013

fDate

5-8 Aug. 2013

Firstpage

1

Lastpage

4

Abstract

Unlike optical images which describe a good appearance of an object, SAR images are described by a set of scattering centers. Therefore, scattering center is an important feature for UWB SAR image target recognition. In this paper, A novel scattering center feature extraction method in UWB SAR is proposed in this paper. The function of scattering center respected to frequency and aspect is computed using the Space-Wavenumber Distribution (SWD) processing, then the target attribute scattering centers model parameters are estimated via this function. The results of the computer simulation experiment show the validity of the method.

Keywords

electromagnetic wave scattering; feature extraction; image recognition; parameter estimation; radar imaging; radar target recognition; synthetic aperture radar; ultra wideband radar; SWD processing; UWB SAR image target recognition; computer simulation experiment; optical images; scattering center feature extraction; scattering center model parameter estimation; space-wavenumber distribution method; space-wavenumber distribution processing; Azimuth; Computational modeling; Feature extraction; Radar polarimetry; Scattering; Signal to noise ratio; Synthetic aperture radar; Feature Extraction; Scattering Center; Space-Wavenumber Distribution; UWB SAR;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on

Conference_Location

KunMing

Type

conf

DOI

10.1109/ICSPCC.2013.6663978

Filename

6663978