Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
State of the art on automatic road extraction for GIS update: a novel classification
Pattern Recognition Letters
Image Based Measurement Systems
Image Based Measurement Systems
Iterative and localized radon transform for road centerline detection from classified imagery
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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The misclassification of roads and parking lots is one of the major difficulties in automating road network extraction from high resolution remotely-sensed imagery, especially in urban areas. This paper proposes a new integrated approach to road identification on high resolution multi-spectral imagery. The input images are first segmented using a traditional k-means clustering on normalized digital numbers. The road cluster is then automatically identified using a fuzzy logic classifier. A number of shape descriptors of angular texture signature are introduced for a road class refinement, i.e. to separate the roads from the parking lots that have been misclassified as roads. Intensive experiments have shown that the proposed methodology is effective in automating the separation of roads from parking lots on high resolution multi-spectral imagery.