Implementation of artificial neural networks for recognition of target and clutter images

Author

Juarez, C. ; Ponomaryov, V. ; Sanchez, J.L.

Author_Institution

National Polytech. Inst., S.E.P.L ESIME Culhuacan, Mexico, Mexico

fYear

2005

fDate

7-9 Sept. 2005

Firstpage

64

Lastpage

67

Abstract

It is presented the development and comparison of two systems for the recognition of the targets and of clutter by means use artificial neural networks (ANN). Images SAR (synthetic aperture radar) of targets and clutter were obtained using a detect system of potential targets CFAR (Bhanu, 2003). Three forms of ANN training were used. The first one consists of the net training with images that are not contaminated by noise. The second one is based on training of the net with images that have been contaminated by noise. And, the third form used training with different level of noise. The results show the capacity and differences of the systems in recognition of radar images.

Keywords

image recognition; learning (artificial intelligence); neural nets; radar clutter; radar imaging; synthetic aperture radar; target tracking; artificial neural networks; clutter image recognition; image noise; neural network training; radar image recognition; synthetic aperture radar images; target recognition; Artificial neural networks; Cities and towns; Electronic equipment testing; IEEE catalog; Image recognition; Noise level; Phase noise; Pixel; Target recognition; Wavelet transforms; Artificial Neural Networks (ANN); clutter; targets;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Electronics Engineering, 2005 2nd International Conference on

Print_ISBN

0-7803-9230-2

Type

conf

DOI

10.1109/ICEEE.2005.1529574

Filename

1529574