Application of Multispectral and Thermal Imaging Technologies in Drone Search and Rescue Missions

With the rapid development of drone technology, its application in search and rescue missions is becoming increasingly widespread. Traditional rescue methods, constrained by manpower and ground equipment, exhibit numerous shortcomings in efficiency and applicability. Multispectral and thermal imaging technologies have emerged as crucial auxiliary tools for drones, capable of operating effectively in complex environments and varying light conditions. These technologies leverage spectral information across different bands and thermal radiation characteristics to significantly enhance target recognition and localization accuracy. However, existing research primarily focuses on single-band image processing and basic thermal data handling, revealing considerable limitations in complex environments and a lack of in-depth studies on establishing and solving target temperature distribution models. This paper aims to develop a temperature distribution model for search and rescue targets using drones, propose and solve the model, and further explore multispectral temperature inversion and multi-temporal detection methods. The goal is to improve the accuracy and efficiency of rescue missions, providing new technological support and theoretical foundations for the application of drones in public safety and emergency management. Copyright: ©2024 The author.