Neural network classification and novelty detection

International Journal of Remote Sensing

Volumn 23, Issue 14, 2002, Pages 2891-2902

  Augusteijn, M F ^a   Folkert, B A ^a  

^a University of Colorado Colorado Springs   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; DATA ACQUISITION; PATTERN MATCHING; PATTERN RECOGNITION; PROBABILITY;

NEURAL NETWORK CLASSIFERS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; IMAGE CLASSIFICATION; MULTISPECTRAL IMAGE; PATTERN RECOGNITION;

EID: 0037143140     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160110055804     Document Type: Article

References (11)

1. Fusion of image classifications using Bayesian techniques with Markov random fields
2. Self-organized formation of topologically correct feature maps
3. Fast learning in a network of locally-tuned processing units
4. A detailed comparison of back-propagation neural network and maximum-likelihood classifiers for urban land use classification
5. Statistical independence and novelty detection with information preserving nonlinear maps
6. Neural network classifiers estimate Bayesian a posteriori probabilities
7. A probabilistic resource allocating network for novelty detection
8. Learning internal representations by error propagation
9. Probabilistic neural networks
10. Identification of unknown categories with probabilistic neural networks