The Extraction Research of Urban Road Information Based on the High Resolution QuickBird Image

Abstract:

This paper studied the key technology of the extraction of urban road information using high-resolution QuickBird image. And this paper discussed the road information extraction algorithms, K-mean image clustering and segmentation algorithm, lambda-schedule image merging algorithm and the construction of knowledge database using spectral and shape features, from three angles, image segmentation algorithm, image merging algorithm and specific road information extraction algorithm. Studies showed that, after the introduction of the spectral and texture information, road extraction method reached a higher area and shape consistency, and provide a valuable reference for related research in the field.

• Periodical: Advanced Materials Research (Volumes 718-720)
• Pages: 2136-2141
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.718-720.2136
• Online since: July 2013
• Authors: Wen Huan Wu, Ying Jun Zhao, Dong Hua Lu, Dong Hui Zhang
• Keywords: High Resolution Image, Images Segmenting, QuickBird Image, Road Information Extraction

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