UAV Image

UAV image analysis focuses on extracting meaningful information from images captured by unmanned aerial vehicles, primarily for applications like environmental monitoring, infrastructure inspection, and precision agriculture. Current research emphasizes developing robust and efficient deep learning models, including variations of YOLO, transformers, and GANs, to address challenges such as object detection in adverse weather conditions, image dehazing, and accurate geo-localization. These advancements improve the accuracy and speed of automated image processing, leading to more efficient data analysis and informed decision-making across various sectors.