InSAR-MONet: Interferometric SAR Phase Denoising Using a Multiobjective Neural Network.
Sergio VitaleGiampaolo FerraioliVito PascazioGilda SchirinziPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- synthetic aperture radar
- sar images
- denoising
- multi objective
- wavelet domain
- neural network
- sar imagery
- radar signal
- image denoising
- sar data
- evolutionary algorithm
- genetic algorithm
- multiobjective optimization
- optimization algorithm
- multi objective optimization
- phase unwrapping
- automatic target recognition
- inverse synthetic aperture radar
- noisy images
- image processing
- sar imaging
- total variation
- back propagation
- radar imaging
- artificial neural networks
- neural network model
- natural images
- multiple objectives
- phased array
- pareto optimal
- target detection
- spectral estimation
- image reconstruction
- synthetic aperture
- objective function
- multiobjective genetic algorithm
- artificial bee colony
- nsga ii
- frequency domain
- particle swarm optimization
- denoising methods
- denoising algorithm
- conflicting objectives
- gaussian noise
- edge detector
- bi objective
- wavelet packet
- isar imaging
- least squares
- noise reduction
- feature vectors
- multi objective evolutionary algorithms
- image quality
- multiobjective evolutionary algorithms