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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >On-Orbit Signal-to-Noise Ratio Test Method for Night-Light Camera in Luojia 1-01 Satellite Based on Time-Sequence Imagery
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On-Orbit Signal-to-Noise Ratio Test Method for Night-Light Camera in Luojia 1-01 Satellite Based on Time-Sequence Imagery

机译：基于时序图像的罗嘉1-01卫星夜视摄像机在轨信噪比测试方法

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Night-light remote sensing imaging technologies have increasingly attracted attention with the development and application of focal plane arrays. On-orbit signal-to-noise ratio (SNR) test is an important link to evaluate night-light camera’s radiometric performance and the premise for quantitative application of remote sensing imageries. Under night-light illumination conditions, the illuminance of ground objects is very low and varies dramatically, the spatial uniformity of each pixel’s output cannot be guaranteed, and thus the traditional on-orbit test methods represented by variance method are unsuitable for low-resolution night-light cameras. To solve this problem, we proposed an effective on-orbit SNR test method based on consecutive time-sequence images that including the same objects. We analyzed the radiative transfer process between night-light camera and objects, and established a theoretical SNR model based on analysis of the generation and main sources of signal electrons and noise electrons. Finally, we took Luojia 1-01 satellite, the world’s first professional night-light remote sensing satellite, as reference and calculated the theoretical SNR and actual on-orbit SNR using consecutive images captured by Luojia 1-01 satellite. The actual results show the similar characteristics as theoretical results, and are higher than the theoretical results within the reasonable error tolerance, which fully guarantee the detection ability of night-light camera and verify the validity of this time-sequence-based method.
机译：随着焦平面阵列的发展和应用，夜光遥感成像技术越来越引起人们的关注。轨道上信噪比（SNR）测试是评估夜光摄像机辐射性能的重要链接，也是定量应用遥感影像的前提。在夜间照明条件下，地面物体的照度非常低且变化很大，不能保证每个像素输出的空间均匀性，因此以方差法为代表的传统在轨测试方法不适用于低分辨率夜间。轻型相机。为了解决这个问题，我们提出了一种基于连续时间序列图像的有效的在轨SNR测试方法，该序列包括相同的物体。我们分析了夜光相机与物体之间的辐射传递过程，并在分析信号电子和噪声电子的产生和主要来源的基础上，建立了理论SNR模型。最后，我们以世界上第一枚专业夜灯遥感卫星罗家1-01卫星为参考，并使用罗家1-01卫星拍摄的连续图像计算了理论SNR和实际在轨SNR。实际结果与理论结果具有相似的特征，在合理的误差容限内高于理论结果，充分保证了夜光摄像机的检测能力，验证了该基于时间序列的方法的有效性。

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