Abstract
This paper proposes a new approach to extract narrow linear structures (lines) from remote sensing images. Lines can be used for instance as hypotheses for the extraction of objects like roads which are important in Geographic Information Systems (GIS). Projected into images with a resolution of 1 up to 30 meters, this kind of objects results in lines with a width of only a few pixels. Opposed to approaches from the literature, the proposed approach is able to detect lines bounded by brighter and darker regions (linear-shaped plateaus). It uses global non-maximum suppression taking into account entire lines to derive a consistent set of lines also integrating different resolutions/scales.
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© 1996 Springer-Verlag Berlin Heidelberg
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Mayer, H. (1996). Extracting Narrow Linear Structures from Remote Sensing Images Using Search, Global Non-Maximum Suppression and Resolution/Scale Integration. In: Jähne, B., Geißler, P., Haußecker, H., Hering, F. (eds) Mustererkennung 1996. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80294-2_39
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DOI: https://doi.org/10.1007/978-3-642-80294-2_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61585-9
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