Thesis Type: Postgraduate
Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Graduate School of Informatics, Information Systems, Turkey
Approval Date: 2015
Student: HAZAN DAĞLAYAN SEVİM
Supervisor: YASEMİN ÇETİNAbstract:
Shadows caused by clouds, mountains or high human-made structures pose challenges for identiﬁcation of objects from satellite or aerial images since they deteriorate and mask true spectral properties of the objects. Therefore, they should be detected to accurately classify objects. Moreover, in change detection problems, shadows deteriorate performance because mere spectral changes act as actual object changes. Shadows are also useful as cues for estimating the height of an object or determining the time of recording. This study is dedicated to developing novel algorithms for detecting shadows on multispectral images using diﬀerent color spaces. The proposed methods are compared with the methods in the literature.