دورية أكاديمية

Road Network Extraction in VHR SAR Images of Urban and Suburban Areas by Means of Class-Aided Feature-Level Fusion.

التفاصيل البيبلوغرافية
العنوان: Road Network Extraction in VHR SAR Images of Urban and Suburban Areas by Means of Class-Aided Feature-Level Fusion.
المؤلفون: Hedman, Karin, Stilla, Uwe, Lisini, Gianni, Gamba, Paolo
المصدر: IEEE Transactions on Geoscience & Remote Sensing; Mar2010 Part 2 of 2, Vol. 48 Issue 3, p1294-1296, 3p
مصطلحات موضوعية: SYNTHETIC aperture radar, MARKOV random fields, INFORMATION processing, IMAGING system design & construction, CARTOGRAPHY, EQUIPMENT & supplies
مستخلص: In this paper, we propose to combine two road extractors from very high resolution synthetic aperture radar scenes: one more successful in rural areas and one explicitly designed for urban areas. In order to get the best combination of both, a rapid mapping filter for discriminating rural and urban scenes is utilized. Finally, the results are fused on a feature level and connected by means of a network optimization. The approach is tested and evaluated on TerraSAR-X data containing complex urban areas and urban-rural fringe scenes. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:01962892
DOI:10.1109/TGRS.2009.2025123