Paper
17 November 1995 Toward an automated building detection system from satellite data
Taejung Kim, Jan-Peter A. Muller
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Taejung Kim and Jan-Peter A. Muller "Toward an automated building detection system from satellite data", Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); https://doi.org/10.1117/12.226857
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Bohrium

Image resolution

Image processing

Airborne remote sensing

Detector development

Image segmentation

Satellites

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