光电工程, 2017, 44 (4): 427, 网络出版: 2017-07-10   

大疆无人机目标红外辐射特性测量及温度反演

Infrared radiation characteristics measurement and temperature retrieval based on DJI unmanned aerial vehicle
陈超帅 1,2,3,*王世勇 1,3
作者单位
1 中国科学院红外探测与成像技术重点实验室,上海 200083
2 中国科学院大学,北京 100049
3 中国科学院上海技术物理研究所,上海 200083
摘要
随着无人机技术在各个领域崭露头角,无人机目标在红外波段的辐射特性成为人们非常关注的问题。本文首先对中、长波红外探测器进行辐射定标,针对飞行中的无人机目标的辐射特性进行测量,对飞行状态下的无人机目标的温度进行了反演,分别采用了单波段、双波段比色法、基于黑体校正的双波段法进行探测,结合实测数据对上述各种方法进行了分析对比,对测量结果进行了精度分析并给出误差源。结果表明,实验中的无人机中波辐射强度约为0.04 W/sr、长波辐射强度在0.5 W/sr左右,采用基于黑体校正的双波段测量方法能极大提高无人机目标温度反演的精度。反演温度的绝对误差降低至2 K,相对误差仅为0.5%左右。
Abstract
With the initial applications of unmanned aerial vehicle technology in various fields, the infrared (IR) radiation characteristic of the UAV becomes an issue of mutual concern. In this experiment, the radiometric cali-bration of middle wave and long wave infrared detectors has been done firstly. The radiation characteristics of the UAV are measured while flying, and the temperature of UAV target is inverted by using single-band method, dual-band colorimetric method and dual-band method based on black-body calibration. Combined with the real measured data, the above methods are analyzed and compared. The measurement precision is analyzed and error source is given. The results show that radiation intensity of UAV is about 0.04 W/sr in middle IR wave, and 0.5 W/sr in long IR wave. Dual-band method based on black-body calibration can improve the precision of UAV temperature inversion greatly, the absolute error of temperature retrieval reduces to 2 K, and relative error is about 0.5%.

陈超帅, 王世勇. 大疆无人机目标红外辐射特性测量及温度反演[J]. 光电工程, 2017, 44(4): 427. Chaoshuai Chen, Shiyong Wang. Infrared radiation characteristics measurement and temperature retrieval based on DJI unmanned aerial vehicle[J]. Opto-Electronic Engineering, 2017, 44(4): 427.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!