An Evaluation of the GOES-R ABI Aerosol Retrieval Algorithm.
Hongqing LiuIstvan LaszloPubu CirenMi ZhouShobha KondraguntaPublished in: IGARSS (3) (2008)
Keyphrases
- learning algorithm
- experimental evaluation
- cost function
- detection algorithm
- optimization algorithm
- computationally efficient
- segmentation algorithm
- preprocessing
- improved algorithm
- computational cost
- data sets
- k means
- retrieval framework
- tree structure
- expectation maximization
- particle swarm optimization
- convergence rate
- computational complexity
- dynamic programming
- np hard
- significant improvement
- selection algorithm
- classification algorithm
- linear programming
- theoretical analysis
- input data
- high accuracy
- lower bound
- multimedia
- information retrieval