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The system calibration determines the position and orientation between the sensor and the navigation systems, such as boresight misalignment. Although there is much research about boresight calibration, there are not sufficient studies on the frequency of the calibration performance. The shortterm stability of boresight misalignment was investigated in previous studies, but long-term stability research could not be done. It is important to emphasize that long-term stability is still open to questions. In this study, an Ultracam Eagle digital aerial camera's data from 2012 to 2016 were analyzed and the question of how often calibration should be performed was investigated. Boresight misalignment does not remain constant on a yearly basis and should be calibrated every year before the flight season. It was observed that the boresight misalignment changed dramatically when the inertial measurement unit or camera was removed from the aircraft and sent to the manufacturer for factory calibration. [ABSTRACT FROM AUTHOR]

The importance of alternative distribution channels on finance sector is increasing day by day. Most of the customers consider about ATM accessibility. It is an important criterion for customers’ bank choices. Banks are making investments for increasing the number of ATMs to serve more customers and generate ease-of-use. Here, it is important to make the investments to appropriate locations for new ATM establishments. The ATM location distribution must be balanced while ensuring efficiency and answering demand of the costumers. On the site selection problems there are many spatial statistical methods such as Factor analysis, cluster analysis, neural networks, regression analysis and correlation analysis. In this study, canonical correlation analysis and ordinary least squares regression analysis are used. First of all, to find which criteria affect ATM site selection decision, all inputs are analysed with correlation method. Then, the result criteria which affect ATM locations are analysed on ordinary least squares regression model. Finally the optimum ATM locations and the predictive efficiencies of those ATMs are found. This study aims to make predictive analysis and to find optimum locations for ATMs by using ordinary least squares regression method. [ABSTRACT FROM AUTHOR]