Antenna-based processing of the radar data for zone detection in remote sensing imagery

Author

Morales-Mendoza, L.J. ; Shkvarko, Y.V. ; Leyva-Montiel, J.L. ; Vazquez-Bautista, R.F.

Volume

2

fYear

2003

fDate

9-12 Sept. 2003

Firstpage

531

Abstract

A new approach is addressed to perform antenna-based processing of radar imagery data aimed at reconstruction/enhancement of the images degraded by a spatially-shift-invariant radar spread function and contaminated with additive Gaussian noise. The fused maximum entropy-variational method is developed and computationally implemented using the modified Hopfield neural network. Enhanced zone detection and image denoising are achieved using the proposed approach.

Keywords

Gaussian noise; Hopfield neural nets; geophysical signal processing; image denoising; image enhancement; image reconstruction; iterative methods; maximum entropy methods; radar antennas; radar imaging; remote sensing by radar; additive Gaussian noise; antenna-based processing; image denoising; image enhancement; image reconstruction; iterative analysis; maximum entropy method; modified Hopfield neural network; radar data; radar imagery; remote sensing imagery; spatially-shift-invariant radar spread function; variational method; zone detection; Additive noise; Computer networks; Degradation; Gaussian noise; Image reconstruction; Radar antennas; Radar detection; Radar imaging; Radar remote sensing; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Antenna Theory and Techniques, 2003. 4th International Conference on

Print_ISBN

0-7803-7881-4

Type

conf

DOI

10.1109/ICATT.2003.1238794

Filename

1238794