Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5841
Title: Morphological filter based graph cut for building detection
Other Titles: Morfolojik Filtre Tabanlı Çizge-Kesme Yöntemi İle Bina Bulma
Authors: Karakaya, I.
Yetik, İmam Şamil
Keywords: building detection
graph cut
grayscale morphological filter
Lidar
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 24th Signal Processing and Communication Application Conference, SIU 2016, 16 May 2016 through 19 May 2016, , 122605
Abstract: Automatic building detection with satellite and aerial images is a hot topic in remote sensing area. Especially, in recent years generation of high resolution Lidar data increased the success of building detection algorithms. In the proposed approach seed points in high elevation areas are obtained by applying morphological operations on Lidar data. Then, geodesic distances between this seed and other elevation points are calculated. Next, a mask is generated using distance map with shadow and vegetation information. Finally, this mask is given to the graph cut optimization and building detection is performed. Obtained results are compared with state-of-the-art algorithms. Results showed that our algorithm produced comparable precision and recall values with them. © 2016 IEEE.
URI: https://doi.org/10.1109/SIU.2016.7496156
https://hdl.handle.net/20.500.11851/5841
ISBN: 9781509016792
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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