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


  • L. J. Morales-Mendoza CINVESTAV del IPN, Mexico
  • Yuriy V. Shkvarko CINVESTAV del IPN, Mexico
  • Jose Luis Leyva-Montiel CINVESTAV del IPN, Mexico
  • R. F. Vazquez-Bautista CINVESTAV del IPN, Mexico



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


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.


Shkvarko, Yuriy; Shmaliy, Yuriy; Jaime-Rivas, R.; Torres-Cisneros, M. System Fusion in passive sensing using a modified Hopfield Network. Journal of the Franklin Institute, 2001.

Hamza, A. Ben; Krim, Hamid; Unal, Gozde B. Unifying Probabilistic and Variational Estimation. IEEE Trans. Signal Processing Magazine, Sept. 2002.

Black, Michael J.; Sapiro, Guillermo; Marimont, David H.; Heeger, David. Robust Anisotropic Diffusion. IEEE Trans. Signal Processing, Vol. 7, No. 3, Mar. 1998.

Perona, P.; Malik, J. Scale-Space and Edge Detection Using Anisotropic Diffusion. IEEE Trans. Pattern Analysis and Machine Intelligent, Vol. 12, No. 7, July 1990.

Zhou, Yi-Tong; Chellappa, Rama; Vaid, Aseem; Jenkins, B. Keith. Image Restoration Using a Neural Network. IEEE Trans. Acoustics, Speech and Signal Processing, Vol. 36, No. 7, July 1988.





Broadband, multi-frequency antennas and remote sensing antennas