地/空背景下红外图像弱小飞机目标检测跟踪数据集

A dataset for infrared detection and tracking of dim-small aircraft targets under ground/air background

红外弱小目标检测跟踪是远程精确打击、空天攻防对抗和遥感情报侦察等军事应用中的重要研究内容。针对当前红外目标探测识别领域仿真数据真实性不足、实测数据样本匮乏的情况,本数据集面向低空飞行的弱小飞机目标检测跟踪应用,通过外场实地拍摄和数据准备加工,提供了一套以一架或多架固定机翼无人机目标为探测对象的算法测试数据集。数据集获取场景涵盖了天空、地面等背景以及多种场景,共计22段数据、30条航迹、16177帧图像、16944个目标,每个目标对应一个标注位置,每段数据对应一个标注文件。本数据集可为弱小目标探测、精确制导和红外目标特性等研究提供基础数据。

Infrared detection and tracking of dim-small targets has been a major content of military application studies concerning,for example,long-range precision strike,aerospace defense confrontation,battlefield intelligence and reconnaissance.However,among the means of infrared target detection and recognition,there has been either a lack of authenticity in simulated infrared data or the insufficient sample volume of measured data.To tackle this predicament,we build this dataset by focusing on the detection and tracking of low altitude flying dim-small targets,through outfield recording and subsequent data processing.It can be used in algorithm testing related to the detection of one or multiple fixed-wing UAV targets.This dataset captures varied scenarios under the background of both sky and ground.It includes 22 image sequences,30 trajectories and 16177 frames in relation to 16944 targets.Each target corresponds to a label location in the image,and each image sequence corresponds to a label file.This dataset provides statistical bases for researches concerning infrared target characteristics,dim-small object detection and precision guidance.