Building detection from aerial images using invariant color features and shadow information


Sirmaçek B., Ünsalan C.

2008 23rd International Symposium on Computer and Information Sciences, ISCIS 2008, İstanbul, Türkiye, 27 - 29 Ekim 2008, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/iscis.2008.4717854
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • İstanbul Medipol Üniversitesi Adresli: Hayır

Özet

Robust detection of buildings is an important part of the automated aerial image interpretation problem. Automatic detection of buildings enables creation of maps, detecting changes, and monitoring urbanization. Due to the complexity and uncontrolled appearance of the scene, an intelligent fusion of different methods gives better results. In this study, we present a novel approach for building detection using multiple cues. We benefit from segmentation of aerial images using invariant color features. Besides, we use the edge and shadow information for building detection. We also determine the shape of the building by a novel method. © 2008 IEEE.