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Comparing Different Localization Approaches of the Radon Transform for Road Centerline Extraction from Classified Satellite Imagery

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2006Publisher:IEEEJournal:18th International Conference on Pattern Recognition (ICPR'06)
Authors: Qiaoping Zhang; Isabelle Couloigner;

doi: 10.1109/icpr.2006.389

Comparing Different Localization Approaches of the Radon Transform for Road Centerline Extraction from Classified Satellite Imagery

Abstract

Using a local Radon transform helps improve the performance of the Radon transform-based linear feature detection. In this paper, three different approaches to localize the Radon transform are implemented and compared in the context of road centerline extraction from classified satellite imagery.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
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