2004 UC Proceedings Abstract
 A Complete Building Extraction System From Elevation Data Track: Remote Sensing Imagery Author(s): Chris Finlayson, David Opitz This paper describes a complete semi-automated system for extracting building footprints from remotely sensed images. Buildings have been noted as the most time-consuming feature for maintaining a GIS database, and attempts at automating this process has traditionally been met with limited success. Our proposed system extracts footprints automatically and provides tools to solve the commonly encountered post-extraction manual clean up scenarios. The building footprints can be analyzed in either 2 or 3 dimensions using ArcMap or the 3D Analyst extension to ArcGIS. The core of the system is Feature Analyst, an extension to ArcGIS. This work extended Feature Analyst to incorporate new and existing building extraction techniques while maintaining an intuitive workflow. The results of tests on several datasets demonstrate great promise for the system in its accuracy, simplicity, overall low cost of labor, and convenience because of its integration within a well known environment: ArcGIS. Chris Finlayson University of Montana Computer Science Department of Computer Science Social Science Building Missoula , MT 59812 US Phone: 406-241-2831 E-mail: opitz@cs.umt.edu David Opitz University of Montana Computer Science 2822 Carla Jo Road Missoula , MT 59803 US Phone: 406-251-2690 Fax: 406-829-3593 E-mail: opitz@vls-inc.com |
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