Detecting changes in multispectral satellite images using time dependent angle vegetation indices
3rd International Conference on Recent Advances in Space Technologies, RAST 2007, İstanbul, Türkiye, 14 - 16 Haziran 2007, ss.345-348, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/rast.2007.4284009
- Basıldığı Şehir: İstanbul
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.345-348
- İstanbul Medipol Üniversitesi Adresli: Hayır
Özet
Change detection using satellite images is of major concern to government agencies, military, and scientists. Government agencies can monitor the construction activity on a region automatically by detecting changes. They can update maps accordingly. Forests in satellite images may be monitored automatically for any change in their condition. As for military applications, strategic plans may be updated based on the observed changes on targets. After a natural disaster, even if that region can not be reached, automatically detecting changes in the region's satellite image may provide necessary information to measure the effect of the damage. To solve all these and related problems, there exists commercially available high resolution satellite images. The problem here is automatically detecting changes using these images. In this study, we introduce a method using multispectral information to detect changes on Ikonos imagery. © 2007 IEEE.