A multiobjective optimization method based on MOEA/D and fuzzy clustering for change detection in SAR images.
Qiao WangHao LiMaoguo GongLinzhi SuLicheng JiaoPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- fuzzy clustering
- optimization method
- multi objective
- change detection
- sar images
- optimization algorithm
- evolutionary algorithm
- synthetic aperture radar
- genetic algorithm
- gamma distributions
- differential evolution
- multi objective optimization
- remote sensing images
- uniform design
- particle swarm optimization
- nsga ii
- remote sensing
- simulated annealing
- multi objective evolutionary algorithms
- membership functions
- data streams
- clustering algorithm
- particle swarm optimization pso
- pareto optimal solutions
- satellite images
- wavelet domain
- edge detector
- optimization problems
- image registration
- objective function
- sar imagery
- metaheuristic
- fitness function
- neural network
- pso algorithm
- computer vision
- image reconstruction
- maximum likelihood