Title :
Enhanced zone detection in radar images via fusing the maximum entropy and variational analysis methods
Author :
Morales-Mendoza, L.J. ; Shkvarko, Y.V. ; Vázquez-Bautista, R.F.
Abstract :
A new approach is addressed for denoising and reconstruction of the radar images degraded by spatially-shift-invariant linear system and contaminated with additive Gaussian noise. The fused Maximum Entropy-Variational Analysis method is developed and computationally implemented using the modified Hopfield neural network. The enhanced zone detection and image denoising are achieved using the proposed approach.
Keywords :
Gaussian noise; Hopfield neural nets; image denoising; image reconstruction; maximum entropy methods; radar imaging; sensor fusion; variational techniques; additive Gaussian noise; enhanced zone detection; fusing; image denoising; maximum entropy; modified Hopfield neural network; radar images; spatially-shift-invariant linear system; variational analysis; Additive noise; Degradation; Entropy; Gaussian noise; Image analysis; Image reconstruction; Linear systems; Noise reduction; Radar detection; Radar imaging;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1295342
