Novel fusion approach on automatic object extraction from spatial data: case study Worldview-2 and TOPO5000 |
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| Authors: | U G Sefercik S Karakis C Atalay I Yigit U Gokmen |
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| Institution: | 1. Department of Geomatics Engineering, Bulent Ecevit University, Zonguldak, Turkey;2. Department of Civil Engineering, Bulent Ecevit University, Zonguldak, Turkey;3. Graduate School of Natural and Applied Sciences, Bulent Ecevit University, Zonguldak, Turkey |
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| Abstract: | The automatic extraction of information content from remotely sensed data is always challenging. We suggest a novel fusion approach to improve the extraction of this information from mono-satellite images. A Worldview-2 (WV-2) pan-sharpened image and a 1/5000-scaled topographic vector map (TOPO5000) were used as the sample data. Firstly, the buildings and roads were manually extracted from WV-2 to point out the maximum extractable information content. Subsequently, object-based automatic extractions were performed. After achieving two-dimensional results, a normalized digital surface model (nDSM) was generated from the underlying digital aerial photos of TOPO5000, and the automatic extraction was repeated by fusion with the nDSM to include individual object heights as an additional band for classification. The contribution was tested by precision, completeness and overall quality. Novel fusion technique increased the success of automatic extraction by 7% for the number of buildings and by 23% for the length of roads. |
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| Keywords: | Automatic object extraction fusion worldview-2 Wallis filtering normalized digital surface model |
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