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Proceedings Paper

Semiautomatic road extraction from IKONOS satellite image
Author(s): Taehun Yoon; Wonkyu Park; Taejung Kim
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Paper Abstract

A semi-automatic road extraction method from high-resolution (1-m) satellite images is presented. As IKONOS, a high-resolution (1-m) satellite has been launched and several companies have plans to launch high-resolution satellites, extraction of man-made objects from high-resolution satellite images has been main concern of many scientists. The method consists of three phases; 1) NUBS (Non Uniform B-Spline) curve is formed by given seed points. 2) A road candidate area is made by straightening image along the NUBS curve. 3) Finally, road is extracted by a tracking algorithm which uses adaptive least squares correlation match method and linearity. Due to straightening image, the tracking algorithm extracts roads accurately even though there are road gaps, and the size of a matrix for least squares correlation match can be reduced. We test our method on high-resolution (1-m) satellite (IKONOS) image. The test result reveals our method is robust and can be one of the feasible solutions of mapping from high-resolution (1-m) satellite images.

Paper Details

Date Published: 23 January 2002
PDF: 9 pages
Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); doi: 10.1117/12.453690
Show Author Affiliations
Taehun Yoon, SaTReCi Co., Ltd. (South Korea)
Wonkyu Park, SaTReCi Co., Ltd. (South Korea)
Taejung Kim, Korea Advanced Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 4545:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology
Manfred Ehlers, Editor(s)

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