【作者】 张义广； 冯志高； 蔡超； 周军； 杨军；

【Author】 ZHANG Yi-guang1,2,FENG Zhi-gao2, CAI Chao3, ZHOU Jun1, YANG Jun1 (1.College of Astronautics, Northweastern Polytechnical University, Xi’an 710072, China; 2.Institute of China Sanjiang Space Groups, Wuhan 430034, China; 3. Key Laboratory of Education Ministry of Image Processing and Intelligent Control, Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China)

【机构】 西北工业大学航天学院； 中国三江航天集团； 华中科技大学图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室；

【摘要】 以高超音速动态条件下传感器成像的退化模型为基础,提出了一种利用低速航拍图像模拟高超音速动态条件下红外图像方法。该方法首先对低速航拍图像进行帧内、帧间重采样,然后在图像中加入大气衰减、运动模糊、气动光学效应等退化因素,然后合成高超音速动态条件下的目标图像。所生成的图像已用于目标识别算法的研究。更多还原

【Abstract】 Based on the degraded model of sensor imaging under the high-ultrasonic and dynamic condition, a new approach on simulating high-ultrasonic dynamic infrared image using low-speed aerial image is proposed. Firstly, the low-speed aerial images in and between frames are re-sampled. Then some degraded factors, such as atmospheric attenuation, movement blurring, aero-optical effect and so on, are added. Finally, the target images that can reflect the high-ultrasonic and dynamic conditions are generated. Above generated images have already been used to study target recognition algorithms.更多还原