Enhancing classification accuracy via registration of discrete return LiDAR and aerial imagery using the Levenberg-Marquardt nonlinear optimization method.
Madhurima BandyopadhyayJan A. N. van AardtKerry Cawse-NicholsonPublished in: IGARSS (2013)
Keyphrases
- optimization method
- aerial imagery
- levenberg marquardt
- gauss newton
- lidar data
- least squares
- aerial images
- artificial neural networks
- back propagation
- point cloud
- bundle adjustment
- optimization algorithm
- optimization methods
- evolutionary algorithm
- genetic algorithm
- differential evolution
- neural network
- simulated annealing
- global optimum
- elevation data
- structure from motion
- image registration
- convergence rate
- metaheuristic
- convergence analysis
- feature space
- training algorithm
- urban areas
- feature selection
- support vector
- feature extraction
- image segmentation
- step size
- three dimensional
- hyperspectral imagery
- learning algorithm
- point sets