An Evolutionary Algorithm Based on Morphological Associative Memories for Endmember Selection in Hyperspectral Images

2005 ◽  
pp. 45-59
Author(s):  
M. Graña ◽  
C. Hernandez ◽  
A. d’Anjou
Keyword(s):  
Evolutionary Algorithm ◽  
Hyperspectral Images ◽  
Associative Memories

Synchronous R-NSGA-II: An Extended Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

Informatica ◽  
2015 ◽  
Vol 26 (1) ◽  
pp. 33-50 ◽  
Author(s):  
Ernestas Filatovas ◽  
Olga Kurasova ◽  
Karthik Sindhya
Keyword(s):  
Evolutionary Algorithm ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective

Pre-Processing of Hyperspectral Images Using Nonlinear Filters

2013 ◽  
Vol 11 (1) ◽  
pp. 8-13
Author(s):  
V. Behar ◽  
V. Bogdanova
Keyword(s):  
Signal To Noise Ratio ◽  
Correlation Coefficients ◽  
Hyperspectral Images ◽  
Spectral Correlation ◽  
Edge Preserving ◽  
Improvement Factor ◽  
Filter Output ◽  
Average Improvement ◽  
Processing Procedure

Abstract In this paper the use of a set of nonlinear edge-preserving filters is proposed as a pre-processing stage with the purpose to improve the quality of hyperspectral images before object detection. The capability of each nonlinear filter to improve images, corrupted by spatially and spectrally correlated Gaussian noise, is evaluated in terms of the average Improvement factor in the Peak Signal to Noise Ratio (IPSNR), estimated at the filter output. The simulation results demonstrate that this pre-processing procedure is efficient only in case the spatial and spectral correlation coefficients of noise do not exceed the value of 0.6

A parallel multiobjective evolutionary algorithm based on decomposition using MPI and OpenMP

2014 ◽  
Author(s):  
J. W. Liu ◽  
W. Q. Ying ◽  
Y. Wu ◽  
Y. H. Xie ◽  
D. M. Meng ◽  
...  
Keyword(s):  
Evolutionary Algorithm ◽  
Multiobjective Evolutionary Algorithm
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