An iterative approach to partially supervised classification problems

International Journal of Remote Sensing

Volumn 23, Issue 18, 2002, Pages 3887-3892

  Fernandez Prieto D ^a  

^a ESA ESRIN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

LANDFORMS; MAPPING;

IMAGE DATA DISTRIBUTION;

REMOTE SENSING;

IMAGE CLASSIFICATION; LAND CLASSIFICATION; LAND COVER; REMOTE SENSING;

EID: 0037144433     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160210133563     Document Type: Article

References (11)

1. On the statistical analysis of dirty pictures
2. A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images
3. Maximum likelihood from incomplete data via the EM algorithm
4. The reduced Parzen classifier
5. Partially supervised classification using weighted unsupervised clustering
6. Combined learning and use for a mixed model equivalent to the RBF classifier
7. Fast learning in networks of locally-tuned processing units
8. Radial basis functions for multivariate interpolation: A review
9. A Markov random field model for classification of multisorce satellite imagery
10. A probabilistic RBF network for classification