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Proceedings Paper

Toward an automated building detection system from satellite data
Author(s): Taejung Kim; Jan-Peter A. Muller
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Paper Abstract

An automated building detection system has been developed previously based on a line- relation-graph. This paper describes improvements made on this building detection system originally developed for aerial imagery. Major improvement has been achieved by introducing a `super' building hypothesis, which refers to a building hypothesis formed from a `U'-shaped chain of lines. This paper also reports experiments on automated building detection from 2 m resolution spaceborne imagery (DD5) using the improved system. Although small buildings could not be extracted (as they were not visible), the improved system showed strong feasibilities of (fully) automated extraction of large buildings from DD5 imagery.

Paper Details

Date Published: 17 November 1995
PDF: 11 pages
Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); doi: 10.1117/12.226857
Show Author Affiliations
Taejung Kim, Univ. College London (United Kingdom)
Jan-Peter A. Muller, Univ. College London (United Kingdom)


Published in SPIE Proceedings Vol. 2579:
Image and Signal Processing for Remote Sensing II
Jacky Desachy, Editor(s)

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