| Technology and Methodology |
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A study of SNR index setting of infrared imager based on spectrum simulation |
| WEI Dandan1, GAN Fuping1,2, ZHANG Zhenhua1,2, XIAO Chenchao1, TANG Shaofan3, ZHAO Huijie4 |
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 |
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Abstract 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.
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tropical rainfall measuring mission(TRMM)-3 B43 data
precipitation
applicability
Xinjiang region
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Issue Date: 20 October 2016
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2016,
Vol. 28
