Akademik Veri Yönetim Sistemi
28th European-Association-of-Remote-Sensing-Laboratories (EARSeL) Symposium and Workshops on Remote Sensing for a Changing Europe, İstanbul, Türkiye, 2 - 05 Haziran 2008, ss.214-219
The number of high resolution imaging remote sensing systems is increasing rapidly. But, because of technologic limitations, not every system can produce images with both very good quality and all desired features. Images obtained with different sensors may have complementary information. Fusion of these data with a fine image fusion approach can provide better information about the observed scene. Two common complementary information sources are optical and Synthetic Aperture Radar (SAR) images. These two products have some advantages and disadvantages separately because of their sensor characteristics. Combining advantages of the two images may decrease disadvantages of them; moreover the process will provide extra information. The study includes two parts. First, it consists of pixel based image fusion of SAR and optical images while the second part is fusion of the same data with a feature based method. Registration strategies of both pixel based and the feature based methods were determined and they were implemented for our optical and SAR images. The results of these methods were compared. According to the results it was clear that the feature based method worked better than pixel based method.