Testing and improving forward model and SMOS L2 algorithm for forests.
Rachid RahmounePaolo FerrazzoliYann H. KerrPhilippe RichaumePublished in: IGARSS (2012)
Keyphrases
- theoretical analysis
- mathematical model
- recognition algorithm
- objective function
- probabilistic model
- final result
- cost function
- algorithm has been developed
- classification algorithm
- similarity measure
- algorithm employs
- markov model
- selection algorithm
- experimental evaluation
- computational model
- dynamic programming
- optimization model
- multiple models
- high accuracy
- parameter estimation
- detection algorithm
- preprocessing
- learning algorithm
- estimation algorithm
- hyper graph
- optimization method
- kalman filter
- computational complexity
- em algorithm
- k means
- simulated annealing
- np hard
- significant improvement
- genetic algorithm
- clustering method
- lower bound
- search space
- bi directional
- model free
- linear programming
- input data
- bayesian framework
- prior information
- segmentation algorithm
- test data
- optimization algorithm