Application of neural networks to terrain classification
- 1 January 1989
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 283-288 vol.1
- https://doi.org/10.1109/ijcnn.1989.118592
Abstract
Results of an investigation into the applicability of neural networks to the classification of radar terrain images are reported. The neural network approach is described and compared with the conventional technique of Bayesian classification with maximum-likelihood estimation. Performance that was previously thought to be optimal is shown to be improved upon by the use of neural networks. The results shown generalize to all applications currently employing Bayesian classification.Keywords
This publication has 3 references indexed in Scilit:
- Classification of Earth terrain using polarimetric synthetic aperture radar imagesJournal of Geophysical Research, 1989
- Application of neural networks to terrain classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987