Name
Title | ||
|---|---|---|
A Comparison of Criteria for Decision Fusion and Parameter Estimation in Statistical Multisensor Image Classification |
Abstract | ||
|---|---|---|
We study two related topics in decision fusion for multisensor image classification. The first topic is the use of a weighted logarithmic opinion pool compared to the statis- tical product combination rule. The performance is compared on three data sets. The second topic is related to different cri- teria for parameter estimation for a statistical fusion model. We propose an alternative criterion for estimation of the mean vector and the covariance matrix of a Gaussian model based on minimizing the number of misclassified training samples and compare the performance of this to the traditional Maximum Likelihood approach. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1024945 | IGARSS |
Keywords | Field | DocType |
covariance matrix,image processing,image sensors,mathematical model,neural networks,maximum likelihood,sensor fusion,criteria,image classification,parameter estimation,bayesian methods,gaussian model,satellites,probability density function,remote sensing | Data set,Pattern recognition,Computer science,Image processing,Sensor fusion,Artificial intelligence,Covariance matrix,Estimation theory,Artificial neural network,Contextual image classification,Bayesian probability | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. H. S. Solberg | 1 | 288 | 32.80 |
| Geir Storviky | 2 | 0 | 0.34 |
| R. Fjortoft | 3 | 234 | 27.36 |