Document Type : Research Paper
Msc Student of photogrammetry, University of Tehran, College of Engineering, Iran
School of Surveying and Geospatial Engineering, University College of Engineering, University of Tehran
Department of Geomatics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Small size multi-spectral cameras are generating recently due to the fast development in UAVs technology and their application in agricultural field. These cameras are designed based on multi lenses structure where each lens captures images in special electromagnetic waves. There is a challenge in band to band co-registration due to this multi lens structure. On the other hand, Low altitude flight is necessary for some applications like plant disease detection where sub-pixel accuracy is needed to detect small features. Therefore, there is a higher miss-registration problem based on relief displacement in low flight altitude on top of trees after registration. The purpose of this article is to reduce the relief displacement error by introducing the most efficient image registration method. Therefore, three different datasets with different altitude are applied for this purpose. Results showed the proposed method was successful %83 to reduce miss-registration error.