Recognition-oriented Bayesian SAR imaging

Author

Zhu, Sha ; You, Peng ; Wang, Hongqiang ; Li, Xiang ; Mohammad-Djafari, Ali

Author_Institution

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

fYear

2011

fDate

26-30 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

We develop a recognition-oriented SAR image formation framework from a Bayesian perspective. In our framework, the prior knowledge of the targets and scene will be treated as restriction to the expected image based on Bayesian inference within an inverse problem frame. As a result, an image beneficial for recognition with background suppression and the important feature enhancement can be achieved. Results on both simulated and MSTAR data validate the performance of our proposed approach.

Keywords

belief networks; image enhancement; image recognition; inference mechanisms; inverse problems; radar computing; radar imaging; radar target recognition; synthetic aperture radar; Bayesian inference; MSTAR data; background suppression; feature enhancement; inverse problem; recognition-oriented Bayesian SAR imaging; recognition-oriented SAR image formation framework; synthetic aperture radar; Bayesian methods; Feature extraction; Image recognition; Imaging; Radar imaging; Radar polarimetry; Target recognition; Bayesian Inference; Inversve Problem; Recognition; Synthetic Aperture Radar;

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

6087035