1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China;
2. Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Land and Resources, Beijing 100083, China;
3. Beijing Institute of Space Mechanics & Electricity, Beijing 100076, China;
4. School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China
信噪比(signal to noise ratio,SNR)是评价传感器性能的重要参数,是衡量传感器所获取的数字信号真实性的重要指标。SNR的高低对遥感数据能否得到有效利用具有至关重要的作用。任何传感器的指标设置都要以满足用户需求为出发点,因此有必要开展基于波谱模拟的红外成像仪SNR指标设置研究。首先运用已有地物波谱库数据,从数据模拟的角度出发,通过辐射传输模型,模拟得到入瞳辐亮度数据;然后生成并添加高斯白噪声,按照设计方给出的波谱响应函数进行波谱重采样,得到与设计传感器相同的波段;最后采用波谱特征拟合的方法,判别不同SNR条件下地物的可识别度。针对不同领域用户对地物识别的精度需求,给出相应的SNR建议,为传感器的设计提供科学合理的依据。
Signal to noise ratio(SNR) is regarded as an essential parameter of sensors and remote sensing images. It is an important indicator of the acquired digital signal's trueness. The level of SNRs plays a critical role in remote sensing data's applications. The parameter setting should focus on satisfying the users' requirement, so it is necessary to carry out the study of SNR index setting of infrared imager based on spectrum simulation. In this paper, the radioactive transfer model and spectral library were used to simulate apparent radiance and different levels of additive white Gaussian noise was added to the simulated spectrum. The simulated spectrum was re-sampled according to the spectral response function calculated from the designed sensor. In the section of noise impact on object recognition, spectral feature fitting was chosen to compare the fit of simulated spectra with different noise levels to reference apparent radiance spectra without noise. For various accuracies of objects recognition demand in different domains, the authors can propose different suggestions to users, and this research provides reasonable and scientific foundation for sensor design work.
魏丹丹, 甘甫平, 张振华, 肖晨超, 唐绍凡, 赵慧洁. 基于波谱模拟的红外成像仪信噪比指标设置研究[J]. 国土资源遥感, 2016, 28(4): 18-23.
WEI Dandan, GAN Fuping, ZHANG Zhenhua, XIAO Chenchao, TANG Shaofan, ZHAO Huijie. A study of SNR index setting of infrared imager based on spectrum simulation. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 18-23.
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