TY - JOUR ID - 114804 TI - Band to Band Image Registration for Multi-Spectral Cameras Based on Miss-Registration and Relief Displacement Error Reduction JO - Journal of Machine Vision and Image Processing JA - JMVIP LA - en SN - AU - Hassanpour, Mohammad AU - DadrasJavan, Farzaneh AU - Samadzadegan, Farhad AU - Zarinpanjeh, Nima AD - Msc Student of photogrammetry, University of Tehran, College of Engineering, Iran AD - School of Surveying and Geospatial Engineering, University College of Engineering, University of Tehran AD - Department of Geomatics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran Y1 - 2021 PY - 2021 VL - 8 IS - 1 SP - 17 EP - 33 KW - Band to band registration KW - multi-spectral images KW - relief displacement KW - miss-registration KW - aerial images DO - N2 - 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. UR - https://jmvip.sinaweb.net/article_114804.html L1 - https://jmvip.sinaweb.net/article_114804_6a821e5dae8302b6bb4e12612509642c.pdf ER -