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对于核心部件为线阵CCD阵列的航空高光谱成像仪而言,积分时间因随飞行过程中成像行频动态变化而变化,导致影像中各行数据记录的地物灰度值不具备可比性,更使得相邻航带可能出现明显色差。为此,发展了一种基于行频变化的相对辐射校正方法,在传统的相对辐射校正模型中引入了行频的影响,实现了反映行频动态变化的航空高光谱数据辐射校正三维曲面模型。通过无人机载高光谱成像仪的航空飞行试验,利用所获取的验证场的图像进行相对辐射校正处理,通过相邻航带间图像处理前后色差比较、验证场布设均匀靶标的定量化处理结果分析,证明了所发展的相对辐射校正模型不仅可以很好地校正图像的非均一性,而且可有效地克服由于行频差异引起的相邻航带间色差。
For the aviation hyperspectral imager whose core component is a linear CCD array, the integration time varies with the dynamic change of the imaging line frequency during the flight, resulting in incomparable gray value of the data recorded in each line of the image Making the adjacent navigation band may appear significant color difference. For this reason, a relative radiation correction method based on the change of line frequency is developed. The effect of line frequency is introduced into the traditional relative radiation correction model, and the radiation-corrected three-dimensional surface model of aeronautical hyperspectral data reflecting the dynamic change of line frequency is realized. Through the flight test of the UAV hyperspectral imager, the images of the verification field are used for the relative radiation correction, and the comparison of the color difference between the adjacent bands is performed to verify the results of the quantitative processing of uniform targets in the field layout It is proved that the developed relative radiation correction model can not only correct the nonuniformity of the image well, but also effectively overcome the color difference between adjacent air belts caused by the difference of line frequency.