Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 131-136, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W3/131/2014/
doi:10.5194/isprsarchives-XL-2-W3-131-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
22 Oct 2014
Automatic Building Map Updating Using Worldview-2 Stereo Images and Existing Outdated Building Map
M. Gharibi, H. Arefi, H. Rastiveis, and H. Hashemi Dept. of Surveying and Geomatics Eng, College of engineering, University of Tehran, Tehran, Iran
Keywords: Building Map Updating, Building Change Detection, Building Extraction, Active Contour Models Abstract. Updating of existing geo-database, particularly in developing countries, is one of the important and essential issues in geospatial information systems. Numerous change detection methods have been proposed to resolve this issue. In this study, a novel approach is proposed for automatic building change detection and updating from available outdated building map and products of satellite stereo images. The proposed method consists of four steps. In the first step, preliminary building outline for a candidate building is extracted from available old polygon and DSM based on an active contour model. Then, some change detection rules are considered to find out whether or not the building has been changed. If changes are detected, the following third and fourth steps based on a hierarchical approach, run to generate precise changed building outline. The proposed method is tested and evaluated using sample dataset from Tunis City and the obtained results prove the feasibility of this algorithm for automatic building map updating using high resolution stereo satellite images.
Conference paper (PDF, 2252 KB)


Citation: Gharibi, M., Arefi, H., Rastiveis, H., and Hashemi, H.: Automatic Building Map Updating Using Worldview-2 Stereo Images and Existing Outdated Building Map, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W3, 131-136, doi:10.5194/isprsarchives-XL-2-W3-131-2014, 2014.

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