M.Sc. Tezi Görüntüleme

      In this study, we have devised and implemented Graphical User Interfaces GUI for remote sensing applications using Qt library and Python programming language. Using these GUI, a researcher can apply fusion with popular image fusion techniques, including IHS, Brovey, and wavelet-based techniques. One can also assess the quality of the fused images using fusion quality assessment metrics ERGAS, SSIM and CC. Furthermore, with these GUI, one can classify images using ISODATA and K means classification methods. In addition to the standalone versions, we have implemented the GUI as ArcGIS addins, thereby extending ArcGIS, the leading software used for Geographic Information Systems applications, for remote sensing researchers. These GUI can be extended with other fusion techniques, quality assessment metrics and classification methods.