陈方涛, 魏江涛, 石启亮. 多站观测空间目标可见光散射特性及相关性分析[J]. 应用光学, 2014, 35(1): 53-57.
引用本文: 陈方涛, 魏江涛, 石启亮. 多站观测空间目标可见光散射特性及相关性分析[J]. 应用光学, 2014, 35(1): 53-57.
CHEN Fang-tao, WEI Jiang-tao, SHI Qi-liang. Visible light scattering characteristics of space target multi-station observations[J]. Journal of Applied Optics, 2014, 35(1): 53-57.
Citation: CHEN Fang-tao, WEI Jiang-tao, SHI Qi-liang. Visible light scattering characteristics of space target multi-station observations[J]. Journal of Applied Optics, 2014, 35(1): 53-57.

多站观测空间目标可见光散射特性及相关性分析

Visible light scattering characteristics of space target multi-station observations

  • 摘要: 鉴于空间目标的光散射特性对目标的探测、跟踪与识别等空间突防技术具有十分重要的应用价值,利用双向反射分布函数(BRDF)将光辐射的入射照度和目标的散射亮度联系起来,结合目标的几何建模与轨道理论,计算出某时刻在东北3站观测风云卫星可见光散射亮度变化情况, 其峰值随时间依次达到或接近于7.510-3 W/cm2sr,而新疆阿勒泰散射亮度在东北3站达到峰值时只有3.7510-3 W/cm2sr,得出东北3站点卫星光散射亮度趋势相似,只是由于纬度差异使变化趋势在时间上有所延迟,而在与之经度有很大差别的新疆地区的阿勒泰站点的亮度变化趋势则有很大不同。该方法已经在获取空间目标更多信息选择多站观测中取得应用。

     

    Abstract: The research of light scattering properties of space target has very important application value on the space penetration technology such as target detection, tracking and recognition. We associated the light irradiation with the target scattering intensity by utilizing the bidirectional reflectance distribution function (BRDF) based on the theory of target geometric modeling and track, and calculated the visible light scattering intensity variation of satellite observing at the northeast three stations at a certain time, the three peak values of which reached or approached to 7.510-3W/cm2sr with time, however, the scattering intensity in Aletai of Xinjiang was only 3.7510-3W/cm2sr when the other northeast three stations peaked. The results imply that the satellite optical scattering radiance tendencies at the northeast three sites are similar merely with the time delay induced by the latitude difference, but the radiance variation trend of Aletai, Xinjiang is quite different which has a very big longitude difference. The method proposed has been applied in the acquisition of space target more information selection in multistation observations.

     

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