基于环境温度自适应修正的船载辐射特性测量系统联合定标方法

孙晓东; 陈德明; 杨国庆; 苏龑; 赵李健

doi:10.37188/CO.2024-0108

基于环境温度自适应修正的船载辐射特性测量系统联合定标方法

doi: 10.37188/CO.2024-0108

1.
中国卫星海上测控部, 江苏江阴 214431
2.
中国科学院长春光学精密机械与物理研究所, 吉林长春 130033

基金项目: 国家自然科学基金（No. 62305337）

详细信息

作者简介:
孙晓东（1991—），男，吉林敦化人，博士，中国卫星海上测控部工程师。研究方向光学测量与红外辐射特性处理技术， E-mail：xdsun199109@126.com

杨国庆（1992—），男，吉林长春人，博士，中国科学院长春光学精密机械与物理研究所工程师。研究方向为红外辐射特性测量系统设计与数据处理、目标特征提取与识别技术，E-mail：yangguoqing2022@163.com

中图分类号: TN21
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出版历程
- 收稿日期: 2024-06-05
- 录用日期: 2024-09-04
- 网络出版日期: 2024-09-25

Ship-borne Radiation Measuring System United Calibration Based On Environment Temperature Self-adaption Amendment

1.
Satellite Maritime Measurement and Control Department of China, Jiangyin Jiangsu, 214431, China
2.
Changchun Institute of Optics Fine Mechanics and physics Chinese Academy of Sciences, Changchun, Jilin 130033, China

Funds: Supported by the National Natural Science Foundation of China (No. 62305337)

More Information

Corresponding author: yangguoqing2022@163.com

摘要

摘要:
红外数据作为信息化数据库的重要组成部分，在夜视侦察、武器制导、远程预警等方面得到广泛应用。针对红外辐射特性测量系统在环境温度变化情况下产生的温漂会导致目标的红外反演精度受到较大影响，本文提出了基于环境温度自适应修正的内外联合定标方法，通过自适应插值的方式对环境温度变化影响进行修正；以高精度面源黑体作为目标进行辐射反演测量试验，最小误差为6.82%、最大误差为10.21%。同时对水上动态目标开展辐射特性反演，得到高置信度的实测目标辐射特性数据；通过黑体以及水上动态目标的测量试验可以得到：本方法可以在海洋气候复杂环境下实现环境温度变化对辐射反演精度的影响修正，验证了所提出的定标算法的有效性，同时可以基于修正参数进行红外系统环境温度敏感性的有效评估测试。
- 自适应 /
- 辐射定标 /
- 特性反演 /
- 船载系统
Abstract:
As an important component informatization database, infrared data has been extensive used territories such as night investigation, weapon navigation and long-range early warning, etc. Ship-borne infrared radiation characteristic measuring system works in the marine environment, the variation of temperature and humidity is huge. In view of the variation of environment’s temperature affects bias a lot but gain for the measuring system, this paper presents an united calibration method internally and externally based on environment temperature self-adaption amendment and amend temperature influence by means of self-adaption interpolation, thus accomplishes the valid measuring system assessment for sensibility and responsive characteristic of external target. Radiant calibration in different infrared waveband has completed by the measuring system, serial temperature have been set in each integrating time to calibrate and fit, and determined the effectiveness of the method by error statistics. In the meanwhile, the radiant characteristic of high-precision black-body and aquatic target are inversed. As a result, the obtained minimum error of 6.82%, the maximum error of 10.21% for black-body measuring precision and high confidence coefficient for measured radiant inversion value verify the effectiveness and application prospect of the calibration method presented in this paper, ulteriorly.
- self-adaption /
- radiant calibration /
- characteristic inversion /
- ship-borne system

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图 1 实验场景与设置（外定标过程（左）与内定标过程（右））

Figure 1. Experimental scenarios and settings (Outer calibration(left) and inner calibration (right))

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图 2 联合定标算法流程图

Figure 2. Flow char of joint calibration algorithm

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图 3 不同温度下黑体的红外图像

Figure 3. Infrared image of blackbody in different temperature

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图 4 船舶1烟囱红外图像

Figure 4. Infrared image of ship 1 chimney

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图 5 船舶1烟囱区域1&区域2辐射温度反演结果

Figure 5. Inversion results of radiation temperature in ship 1 chimney region 1& region 2

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图 6 船舶2船体红外图像

Figure 6. Infrared image of ship 2 hull

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图 7 船舶2船体区域1&区域2辐射温度反演结果

Figure 7. Inversion results of radiant temperature in hull region 1& region 2 of Ship 2

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图 8 船舶3烟囱红外图像

Figure 8. Infrared image of ship 3 chimney

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图 9 船舶3烟囱区域1&区域2辐射温度反演结果

Figure 9. Inversion results of radiation temperature in ship 3 chimney region 1& region 2

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图 10 船舶4船体红外图像

Figure 10. Infrared image of ship 4 hull

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图 11 船舶4船体辐射温度反演结果

Figure 11. Inversion results of hull radiative temperature of ship 4

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图 12 船舶5船体红外图像

Figure 12. Infrared image of ship 5 hull

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图 13 船舶5船体区域1&区域2辐射温度反演结果

Figure 13. Inversion results of radiant temperature in hull region 1& region 2 of Ship 5

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表 1 不同条件下定标探测器灰度值

Table 1. Detector’s gray value in different calibration condition

环境温度（°C）	黑体温度（°C）
环境温度（°C）	20	25	30	35	40
10	1581.8889	1636.4444	1688.7778	1757.3333	1836.4444
11	1631.4444	1724.1111	1801.8889	1916.5556	2047.3333
13	1698.1111	1747.8889	1786.3333	1843.1111	1914.4444
15	1881.7778	1951.2222	2046.7778	2143.4444	2241
15	1793.5556	1847.2222	1909.1111	1954.7778	2032.1111
27	2182.8889	2253.6667	2347.4444	2443	2539.5556
29	2201.3333	2299.1111	2399.5556	2508.8889	2640.3333
29	2287.8889	2356.1111	2432.5556	2521.6667	2610.4444
33	2651.3333	2702.8889	2762.5556	2839.2222	2916.7778

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表 2 不同环境温度下、特定积分时间下的修正结果

Table 2. Amendment result at specific integration times and different ambient temperatures

黑体温度/ °C	25	35	45	55	65
17 °C，1 ms	1728	1934	2242	2640	3146
22 °C，2 ms	3598	4120	4892	5890	7155
26 °C，3 ms	5461	6298	7534	9124	11156
标准亮度（W/m²·Sr）	1.1757	1.6828	2.3563	3.2341	4.3585
1 ms拟合值（W/m²·Sr）	1.2064	1.6650	2.3492	3.2333	4.3588
2 ms拟合值（W/m²·Sr）	1.2202	1.6799	2.3589	3.2369	4.3504
3 ms拟合值（W/m²·Sr）	1.1998	1.6670	2.3577	3.2457	4.3806
平均误差（AVR）/%	2.82	0.72	0.05	0.14	0.11
均方根误差（RMS）/%	1.3

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表 3 高精度面源黑体辐射反演结果

Table 3. High precision surface blackbody’s radiation inversion results

黑体设置温度/ °C	设置温度对应的辐射亮度W/(m²Ÿsr)	黑体温度测量值/ °C	辐射亮度测量值W/(m²Ÿsr)	辐射亮度测量误差/%
85	7.5099	88	8.1122	8.02%
95	9.666	99	10.6533	10.21%
105	12.28	108	13.1627	7.19%
115	15.414	118	16.4653	6.82%
125	19.1332	129	20.7997	8.71%

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表 4 船舶测试过程中相关信息汇总

Table 4. Summary of relevant information during ship testing

	船舶1	船舶2	船舶3	船舶4	船舶5
天气条件	24 °C，50%，1018 hpa			22 °C，68%，1022 hpa
北京时间	14:45	14:48	15:00	18:17	18:18
距离	3.1 km	2.5 km	3 km	2.1 km	2.9 km
积分时间	4 ms	4 ms	4 ms	4 ms	4 ms
透过率	0.4756	0.5074	0.4799	0.51	0.459
方位角	10.63	143.36	156.2	29.46	22.73
俯仰角	0.151	359.47	0.02	359.6	359.64
焦距	400 mm	400 mm	400 mm	400 mm	400 mm

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