Abstract
A new approach for object extraction from high-resolution satellite images is presented in this paper. The new approach integrates image fusion, multi-spectral classification, feature extraction and feature segmentation into the object to improve accuracies. This paper mainly concentrates on road extraction from quick bird MS and Pan images using the proposed approach. Experiments of road extraction with Quick Bind MS and Pan images demonstrate that the proposed approach is effective.
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© 2011 Springer-Verlag Berlin Heidelberg
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Rajalakshmi, K., Dhinaharan, A.L., Murugan, D., Singaravelan, S. (2011). Extraction of Urban Road Network by Performing Edge – Aided Classification in Remote Sensing. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Digital Image Processing and Information Technology. DPPR 2011. Communications in Computer and Information Science, vol 205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24055-3_38
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DOI: https://doi.org/10.1007/978-3-642-24055-3_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24054-6
Online ISBN: 978-3-642-24055-3
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