Image feature-based space-time processing for ground moving target detection

Author

Deng, Hai ; Himed, Braham ; Wicks, Michael C.

Author_Institution

Dept. of Electr. Eng., Univ. of North Texas, Denton, TX, USA

Volume

13

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

216

Lastpage

219

Abstract

An image feature-based space time processing (IFSTP) algorithm is introduced to effectively detect ground moving targets in clutter and jamming via airborne radar. This new approach exploits the distinct image features of targets and interference signals in the angle-Doppler domain. An image segmentation algorithm, referred to as region growing, extracts targets and interference features in the angle-Doppler domain, and an innovative block-size detection algorithm discriminates between moving targets and interference based on the extracted image features. The proposed IFSTP algorithm is particularly suitable for detecting ground moving targets in highly nonhomogeneous clutter environments, without any requirement for clutter covariance estimation.

Keywords

Doppler effect; airborne radar; image segmentation; jamming; radar clutter; radar detection; radar imaging; radar target recognition; IFSTP algorithm; airborne radar; angle-Doppler domain; block-size detection algorithm; clutter; feature extraction; ground moving target detection; image feature-based space time processing; image segmentation algorithm; interference signal; jamming; Airborne radar; Clutter; Computer vision; Detection algorithms; Feature extraction; Image segmentation; Interference; Jamming; Object detection; Radar detection; Clutter rejection; radar signal processing; region growing (RG); space–time processing;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2005.863676

Filename

1605242