SAR Despeckling Using Multiobjective Neural Network Trained With Generic Statistical Samples.
Sergio VitaleGiampaolo FerraioliAlejandro C. FreryVito PascazioDong-Xiao YueFeng XuPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- multi objective
- sar images
- neural network
- synthetic aperture radar
- multilayer perceptron
- evolutionary algorithm
- multi layer perceptron
- genetic algorithm
- training set
- auto associative
- training process
- trained neural network
- multi objective optimization
- multiobjective optimization
- speckle noise
- multiple objectives
- elman network
- optimization algorithm
- nsga ii
- back propagation
- neural network model
- artificial neural networks
- objective function
- trained neural networks
- bi objective
- pareto optimal
- parameter estimation
- conflicting objectives
- backpropagation algorithm
- edge detector
- self organizing maps
- neural network is trained
- training samples
- multiobjective genetic algorithm
- training data
- fuzzy neural network
- support vector machine
- image processing
- data sets
- artificial bee colony
- feed forward
- differential evolution
- image reconstruction