Paper Info
Title
On-Orbit Signal-to-Noise Ratio Test Method for Night-Light Camera in Luojia 1-01 Satellite Based on Time-Sequence Imagery.
Abstract
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.
Year
DOI
Venue
2019
10.3390/s19194077
SENSORS
Keywords
Field
DocType
SNR,night-light,time-sequence imagery,Luojia 1-01 satellite,low-resolution,on-orbit test,radiometric calibration
Orbit,Radiometric calibration,Test method,Computer vision,Satellite,Signal-to-noise ratio,Illuminance,Electronic engineering,Artificial intelligence,Pixel,Engineering,Radiative transfer
Journal
Volume
Issue
ISSN
19
19
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Wei Wang131.09
Xing Zhong203.04
Zhi-Qiang Su3483.87