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考虑测绘相机的辐射指标对影像匹配精度的影响,对相机辐射指标的量化进行研究,建立了辐射指标与影像匹配精度之间的关系模型,为确定测绘相机辐射指标提供理论支持。推导出了最小二乘影像匹配精度的计算模型,提出影响匹配的主要因素,包括成像场景特性、传递函数(MTF)、信噪比(SNR)与辐射畸变(RD);对上述因素产生的像质退化进行建模与仿真,结合最小二乘匹配以及遗传算法的BP神经网络模型(GABPNN)建立辐射指标与匹配精度之间的数值模型;最后利用仿真与在轨获取的遥感影像数据验证模型。试验结果表明,该模型估算精度<0.01pixel。利用该模型在匹配误差<0.1pixel的测绘需求下,分析出相机的辐射指标应满足MTFN>0.08、SNR>45以及RD<4%。
Considering the influence of the mapping index of the surveying camera on the matching accuracy of the image, the quantification of the radiometric index of the camera is studied. The relation model between the radiometric index and the matching accuracy of the image is established, which provides theoretical support for determining the radiometric index of the surveying camera. The calculation model of the least square matching accuracy is deduced. The main factors affecting the matching are proposed, including imaging scene characteristics, transfer function (MTF), signal to noise ratio (SNR) and radiation distortion (RD) The model was built by using BP neural network model (GABPNN) based on least squares matching and genetic algorithm (GABPNN). Finally, the simulation model and the remote sensing image data validation model were used to obtain the model. The experimental results show that the accuracy of the model is less than 0.01pixel. Using the model, the radiometric index of the camera should meet MTFN> 0.08, SNR> 45 and RD <4% under the mapping requirement of <0.1pixel matching error.