A dataset of semi-synthetic detection for small infrared moving targets under complex backgrounds
Small infrared moving target detection is a key technology in infrared detection and remains a hot issue in photoelectric detection.Especially when it comes to identifying small infrared moving target against complex backgrounds,there is still a lack of effective technological solutions.To address the shortage of high-quality data in current research,we adopted infrared imaging equipment mounted on a small UAV platform to capture image sequences as backgrounds.Embedding synthetic targets in backgrounds properly,we produced a dataset of semi-synthetic detection for small infrared moving targets under complex backgrounds.Various conditions have been configured during image capture,including relative height(top view,horizontal view and bottom view),scenes(vegetation,water and building),platform motion,weather,time,etc.The imaging platform motion and the synthetic target motion have been taken into consideration simultaneously to ensure that the semi-synthetic image sequences resemble the real application scenarios as closely as possible.In addition,we varied the target characteristics in synthetizing,including shape,intensity,and motion.This dataset includes 350 image sequences,150,185 images,with annotation files detailing the targets positions in images.The dataset can be used for research in small infrared moving target detection and tracking.
small infrared moving targetairborne detection platformcomplex backgroundtarget detectionimage sequence