2004 UC Proceedings Abstract
 Automating Production of Digital Nautical Charts Track: Database Design, Automation, and Management Author(s): David Opitz, Chris Finlayson, Stuart Blundell This research discusses benefits of the synergistic use of Feature Analyst and the Production Line Tool Set (PLTS) over traditional methods in extracting features from scanned digital nautical charts. We start by describing algorithms to modify the line and point predictions from Feature Analyst to meet NIMA specifications. Though Feature Analyst is traditionally used with satellite imagery as opposed to scanned maps, test results demonstrate that Feature Analyst in its current form automates several time-consuming tasks. Further we propose additional tools for improving the quality of results, including manual clean-up tools designed for refining predictions, and an automated convert-to-line process. David Opitz University of Montana Computer Scientist Department of Computer Science University of Montana Missoula , MT 59812 US Phone: 406-243-2831 E-mail: opitz@vls-inc.com Chris Finlayson University of Montana Computer Science University of Montana Missoula , MT 59812 US Phone: 406-829-1384 E-mail: opitz@vls-inc.com Stuart Blundell Visual Learning Systems 1280 S. 3rd Street W, ##2 Missoula , MT 59801 US Phone: 406-243-2831 E-mail: sblundell@vls-inc.com |
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