Beschreibung
Forest fire is a spontaneous, uncontrollable spread of fire through forest areas. Forest fires are one of the most dangerous natural phenomena leading to significant economic losses and negative environmental consequences. The purpose of this research is to study and develop a multispectral optoelectronic system (MOES) of image fusion for detection and monitoring of forest fires on the basis of an UAV that allows real-time monitoring and a high probability of detecting forest fires. To achieve this goal, a number of tasks should be solved: study the principles and features of designing MOES of image fusion; analyze the processing of multispectral images and transformations for fusion, develop methods for assessing the quality of a fused image; develop and study a computer model for the formation of a forest fire image; carry out experimental studies of methods for fusing multispectral images. To solve these tasks, the methods of system analysis, mathematical methods of the theory of optical radiation conversion in optoelectronic systems, methods of digital image processing are used in this work.
Autorenporträt
Vasilev Aleksandr, Ph.D., researcher of optical-electronic systems, Senior Enineer in ITMO University, Department of Optical-Electronic Devices and Systems, Saint-Petersburg, Russian Federation.
