An efficient SAR target recognition algorithm based on contour and shape context

Author

Wei, Zhou ; Jie, Wang ; Jian, Guan

Author_Institution

Dept. of Electron. & Inf. Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China

fYear

2011

fDate

26-30 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

An efficient Recognition algorithm was proposed. The main idea of proposed algorithm is that the feature extraction module considers both the target and its shadow. The normalized Fourier series coefficients are used as the target contour feature, the spatial occurrence frequencies of both target and shadow pixels in several well constructed circular windows are used as shape context feature. The minimum distance classifier is used to give the final recognition result. Experiments on MSTAR data validate the effectiveness of proposed algorithm.

Keywords

Fourier series; feature extraction; image recognition; pattern classification; radar imaging; synthetic aperture radar; Fourier series coefficient; MSTAR data; SAR target recognition algorithm; circular window; feature extraction module; minimum distance classifier; shape context feature; spatial occurrence frequency; target contour context feature; Algorithm design and analysis; Context; Feature extraction; Shape; Synthetic aperture radar; Target recognition; Vectors; Fourier Descriptor; Minimum Distance Classifier; SAR Image; Shape Context; Target Recogniton;

fLanguage

English

Publisher

ieee

Conference_Titel

Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4577-1351-4

Type

conf

Filename

6087036