Referenced Items are not available for this document.
Our long-term goal is to develop a trainable tool for locating patterns of interest in large image databases. Toward this goal we have developed a prototype system, based on classical filtering and statistical pattern recognition techniques, for automatically locating volcanoes in the Magellan SAR database of Venus. Training for the specific volcano-detection task is obtained by synthesizing feature templates (via normalization and principal components analysis) from a small number of examples provided by experts. Candidate regions identified by a focus of attention (FOA) algorithm are classified based on correlations with the feature templates. Preliminary tests show performance comparable to trained human observers
Published in:
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Date of Conference: 21-23 Jun 1994
- Page(s):
- 302 - 309
- Meeting Date :
- 21 Jun 1994-23 Jun 1994
- ISSN :
- 1063-6919
- Print ISBN:
- 0-8186-5825-8
- INSPEC Accession Number:
- 4777946
- Conference Location :
- Seattle, WA
- Digital Object Identifier :
- 10.1109/CVPR.1994.323844
- Product Type:
- Conference Publications
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