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Abstract: Volcanoes appearing in SAR images of the surface of Venus are reliably detected and located automatically by a system designed to handle general visual pattern recognition problems. The system is based on classical techniques of linear filtering and supervised statistical pattern classification and is trained for the specific task using a small number of examples provided by experts; a set matched filters is synthesized from the training examples using principal analysis and normalization... (Update)
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BibTeX entry: (Update)
@misc{ institute-tool,
author = "And California Institute",
title = "A Tool for Finding Small Volcanoes in SAR Imagery of Venus",
url = "citeseer.ist.psu.edu/347683.html" }
Citations (may not include all citations):20 Skicat: A machine learning system for the automated catalogi.. (context) - Fayyad, Weirand
4 Learning with probabilistic supervision (context) - Smyth
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1 Recognition of volcanoes on venus using correlation methods (context) - Forshaw - 1993
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