摘要
为了能为作战指挥系统提供清晰的局部战场信息,提高对局部战场低可观测目标的检测概率、定位精度及识别概率,迫切需要对无人机载SAR、可见光传感器、红外探测器等图像信息及其他非图像信息融合处理.提出了无人机载多传感器图像融合技术需要研究的内容,如:图像融合新方法研究;无人机载SAR图像的非平稳性处理;基于图像融合目标检测和处理技术;无人机载图像和非图像信息的融合问题;无人机载多传感器图像融合的实现及评估;多无人机载合成孔径雷达的协同成像;用图像融合的方法实现对运动目标检测等.分析了所提出研究内容的可行性,剖析了其中的关键技术,拟定了可能的技术路线.
In order to provide more precise battlefield information to command system, it is crucial to fuse UAVbome SAR, IR, optical images, hyper spectrum images and other information. So target detection probability, target location precicion and target recognition probability are improved. What should be studied for UAVbome multi-sensor image fusion is proposed, such as novel image fusion methods, non-stationary SAR image processing, image-based target detection, UAVborne image and non-image information fusion, performance evaluation of UAVborne image fusion, image fusion among UAVs, moving targets detection using image fusion, et al. Key technology and feasible way of UAVborne multi-sensor image fusion are presented in this paper.
出处
《海军航空工程学院学报》
2005年第5期505-509,共5页
Journal of Naval Aeronautical and Astronautical University
基金
国家自然科学基金，全国高等学校优秀博士学位论文作者专项基金
