International Journal of Science, Engineering and TechnologyAuthors: Dinh Quang Phuc, Vu Van Le
Abstract: Unmanned Aerial Vehicles (UAVs) have emerged as pivotal instruments in reconnaissance, surveillance, and Search and Rescue (SAR) operations, owing to their rapid mobility and capability to survey extensive terrains. However, the analysis of UAV-derived imagery demands robust processing and recognition algorithms, particularly when operating within complex environments characterized by high noise levels or minute target dimensions. In the context of military operations, the reconnaissance of vehicles and weaponry presents significant challenges due to the constraints on direct human access and the extreme risks associated with detection. Furthermore, these challenges are equally critical in aerial search and rescue missions and maritime incident responses. Consequently, the modernization of military reconnaissance and SAR protocols is an urgent imperative. The deployment of UAVs for these objectives significantly expands operational coverage, enhances localization precision, and minimizes direct human exposure during reconnaissance and search missions. Thus, research into "Image Recognition and Processing Techniques for Unmanned Aerial Vehicles" holds profound practical significance.
