Building detection using local gabor features in very high resolution satellite images
4th International Conference on Recent Advances in Space Technologies 2009, RAST '09, İstanbul, Türkiye, 11 - 13 Haziran 2009, ss.283-286, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/rast.2009.5158213
- Basıldığı Şehir: İstanbul
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.283-286
- İstanbul Medipol Üniversitesi Adresli: Hayır
Özet
Building detection from very high resolution satellite imagery is an important task for land planners. However, manually locating buildings from these images is a difficult and time consuming process. Therefore, researchers focused on building detection using automated image processing and computer vision techniques. The main problems here are as follows. Buildings have diverse characteristics and their appearance (illumination, viewing angle, etc.) is uncontrolled. On the other hand, buildings often have similar cues like parallel edges and roof corners that can be merged. In this study, we propose an automated approach for building detection based on Gabor filters and spatial voting. We extract features (representing buildings) using Gabor filter responses. Using these features, we form a spatial voting matrix to detect buildings. We tested our algorithm on very high resolution grayscale Ikonos satellite images and obtained promising results. ©2009 IEEE.