Feature enhanced regularized reconstruction algorithm foe SAR

Author

Sun, Bin

Author_Institution

Dept. of Inf. & Electron., Zhejiang Univ., Hangzhou, China

Volume

2

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

969

Abstract

The biggest problem for automatic target recognition (ATR) is the accurate and efficient extraction of features from SAR images. A new SAR image formation algorithm, which is recognition oriented is developed. The algorithm is based on a tomographic model of SAR observation, using Vector-Entropy optimization approach to reconstruct SAR images from projections. It provides images with higher resolution of scatters and better separate ability of different regions than traditional algorithms. We apply it on synthetic SAR scenes to show the validity of the algorithm.

Keywords

feature extraction; image reconstruction; maximum entropy methods; optimisation; synthetic aperture radar; tomography; SAR image formation algorithm; automatic target recognition; feature extraction; image reconstruction; synthetic aperture radar; tomographic model; vector entropy optimization; Electromagnetic scattering; Image reconstruction; Image resolution; Layout; Radar scattering; Reconstruction algorithms; Reflectivity; Signal resolution; Synthetic aperture radar; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1280762

Filename

1280762