Modeling of global infrared background based on remote sensing inversion
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摘要: 模拟地球红外辐射背景的前提是要获取可靠的全球表面温度。利用卫星遥感数据可以反演得到较精确的地表温度。反演算法采用了应用广泛的分裂窗算法,并将反演结果绘制成了全球表面温度分布图。同时,建立了完整的地球红外辐射亮度模型,考虑不同地域、纬度和季节模式下的大气辐射亮度和大气衰减。通过遥感反演技术与红外辐射建模技术的结合,最终完成了任意波段全球红外辐射背景亮度的计算与图像生成。结果表明:模拟的地球红外辐射图像效果精细,真实反映了地球背景的红外辐射特征,在空间目标的热环境分析,以及空间红外探测与隐身技术的研究等方面具有重要的应用价值。Abstract: The precondition for modeling the earth's infrared background is to derive reliable global surface temperature. The accurate surface temperature could be retrieved based on the data of remote sensing. Choosing the widely used split-window algorithm, the global distribution of the surface temperature was retrieved. Besides, the model of the earth infrared radiance was completely proposed, considering the atmospheric infrared radiance and the atmospheric transmittance in different modes of region, latitude and season. Through a combination of remote sensing technology and infrared radiation modeling technology, the global infrared background radiance was finally calculated and mapped in any band. It can be indicated that, the simulated images are detailed and accurate, and reflected the real infrared characteristics of the earth background. The results have an important application value in thermal environment analysis of space objects, research of space infrared detection and stealth technology.
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Key words:
- earth background /
- infrared radiation /
- remote sensing inversion
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[1] Zhang Weiqing, Xuan Yimin, Han Yuge. Approach of generating infrared picture about the earth background [J]. Infrared and Laser Engineering , 2006, 35(1): 39-44. (in Chinese) 张伟清, 宣益民, 韩玉阁. 地球红外辐射背景成像方法研 究[J]. 红外与激光工程, 2006, 35(1): 39-44. [2] [3] Sun Liang, Sun Rui, Jia Chenggang, et al. A comparison of split-window algorithm to retrieve land surface temperature from MODIS data[J]. Journal of Beijing Normal University (Natural Science), 2008, 44(4): 434-438. (in Chinese) 孙亮, 孙睿, 贾成刚, 等. MODIS 数据反演地表温度劈窗 算法比较[J]. 北京师范大学学报(自然科学版), 2008, 44 (4): 434-438. [4] [5] [6] Larry M McMillin. Estimation of sea surface temperatures from two infrared window measurements with different absorption [J]. Journal of Geophysical Research, 1975, 80(36): 5113-5117. [7] [8] Wan Zhengming, Zhao Liangli. A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data[J]. IEEE Transaction on Geosciences and Remote Sensing, 1997, 35(4): 980-996. [9] [10] Ding Lidong, Qin Zhihao, Mao Kebiao. A research of split window algorithm based on MODIS image data and parameter determination[J]. Remote Sensing Technology and Application, 2005, 20(2): 284-289. (in Chinese) 丁莉东, 覃志豪, 毛克彪. 基于MODIS 影像数据的劈窗算 法研究及其参数确定[J]. 遥感技术与应用, 2005, 20(2): 284-289. [11] Qin Zhihao, Gao Maofang, Qin Xiaomin, et al. Methodology to retrieve land surface temperature from MODIS data for agricultural drought monitoring in China [J]. Infrared and Laser Engineering, 2005, 14(4): 64-71. (in Chinese) 覃志豪, 高懋芳, 秦晓敏, 等. 农业旱灾监测中的地表温度 遥感反演方法: 以MODIS 数据为例[J]. 红外与激光工程, 2005, 14(4): 64-71. [12] [13] Jos A Sobrino, Juan C Jimnez-Muoz, Leonardo Paolin. Land surface temperature retrieval from LANDSAT TM 5[J]. Remote Sensing of Environment, 2004, 90(4): 434-440. [14] [15] Enric Valor, Vicente Caselles. Mapping land surface emissivity from NDVI: Application to European, African, and South American areas [J]. Remote Sensing of Environment, 1996, 57(3): 167-184. [16] [17] [18] Gao Maofang, Qin Zhihao, Xu Bin. Estimation of the basic parameters for deriving surface temperature from MODIS data[J]. Arid Zone Research, 2007, 24(1): 113-119. (in Chinese) 高懋芳, 覃志豪, 徐斌. 用MODIS 数据反演地表温度的基 本参数估计方法[J]. 干旱区研究, 2007, 24(1): 113-119. [19] Gao Maofang, Qin Zhihao, Gao Mingwen, et al. Calibration of view angle for retrieving land surface temperature from the MODIS[J]. Remote Sensing Technology And Application, 2007, 22(3): 433-437. (in Chinese) 高懋芳, 覃志豪, 高明文, 等. MODIS 数据反演地表温度 的传感器视角校正研究[J]. 遥感技术与应用, 2007, 22(3): 433-437.
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