Dongxing Tao, Huijie Zhao, Guorui Jia, Yan Yuan
Appl Opt. 2014 Oct 1;53(28):6375-81. doi: 10.1364/AO.53.006375.
Sensor simulation modeling is an important tool for the design of new earth imaging systems. As the input of the model, the characteristics of the synthetic spectral scene image data cube (SSSIDC) play an important role in the accuracy of the simulation. Based on a general sensor simulation model, the effects of SSSIDC resolution, sampling interval (SI), and signal-to-noise ratio (SNR) on simulated data are analyzed. Analysis shows that the simulated data characteristics are a function of the model parameters and the SSSIDC characteristics. The results can be used for evaluating the errors of simulated data, giving criteria for scene image synthesis, and designing appropriate model parameters for expected simulation. Simulation experiments are included to demonstrate the discussed analysis, with the results showing that the analysis is valid.
传感器仿真建模是设计新型地球成像系统的重要工具。作为模型的输入，合成光谱场景图像数据立方体（SSSIDC）的特性对仿真精度起着重要作用。基于通用传感器仿真模型，分析了SSSIDC分辨率、采样间隔（SI）和信噪比（SNR）对模拟数据的影响。分析表明，模拟数据特性是模型参数和SSSIDC特性的函数。该结果可用于评估模拟数据的误差、给出场景图像合成标准以及为预期仿真设计合适的模型参数。文中包含仿真实验以论证所讨论的分析，结果表明该分析是有效的。
