Abstract
The paper describes a new method for extracting objects from high resolution color remote sensing images. This method is based on the fuzzy segmentation algorithm which has been developed in our previous works. The proposed object extraction method is following three steps. (1) Segmenting color images, (2) Detecting objects from segmented images, and (3) Postprocessing of extracted object. The paper also gives experimental results from using the proposed method to extract centerlines of road networks and roofs of building from QuickBird and Ikonos Images.
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© 2005 Springer-Verlag Berlin Heidelberg
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Li, Y., Li, J., Chapman, M.A. (2005). Automatically Extracting Manmade Objects from Pan-Sharpened High-Resolution Satellite Imagery Using a Fuzzy Segmentation Method. In: van Oosterom, P., Zlatanova, S., Fendel, E.M. (eds) Geo-information for Disaster Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27468-5_46
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DOI: https://doi.org/10.1007/3-540-27468-5_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24988-7
Online ISBN: 978-3-540-27468-1
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