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本文着重讨论了遥感数据的实时分类和星载相机快门的自动关启问题.首先建立了计算各类目标景象亮度的物理模型,分析了大气等因素对遥感数据的影响及各类自然目标的光谱反射特性,计算了三十四种目标在九种大气条件下的亮度值.进而提出了识别植被、土壤、水、冰雪和云等五类目标的最佳波段和分类函数及分类流程图,得到了很高的分类精度.然后又特别讨论了云层和所有非云目标(包括混合目标)的分类问题,并用密度计测量了十张MSS卫星图片上的180个目标的亮度值.最后提出了云层开关的实现途径和系统设计的基本思想.
This paper focuses on the real-time classification of remote sensing data and the automatic shut-off of the satellite camera shutter.Firstly, a physical model for calculating the brightness of each target image is established, and the influence of atmospheric factors on the remote sensing data and the spectra of various natural targets Reflection characteristics, the brightness values of thirty-four targets under nine atmospheric conditions were calculated, and then the optimal wave band and classification function and classification flow chart for five categories of vegetation, soil, water, ice, snow and cloud were put forward. Then the classification accuracy of the cloud and all non-cloud targets (including mixed target) are discussed in particular, and the densities of 180 targets on ten MSS satellite images are measured with densitometer.Finally, The realization of the switch and the basic idea of system design.