The geostationary orbit water color remote sensing satellite has the unique advantage of high time resolution observation, which can accurately obtain the information of ocean color elements, coastal zone observation elements, sea surface temperature and large sea targets. The onboard optical imaging system has the characteristics of large aperture, large incident angle, wide spectrum and multi-channel detection at the same time, so it has high polarization sensitivity. In order to achieve high quantitative application of water-color remote sensing, it is necessary to reduce the influence of polarization sensitivity. According to the characteristics of the water-color remote sensing payload in geostationary orbit, the polarization sensitivity of the system is suppressed by optimizing the structure of the optical system and controlling the polarization sensitivity of the optical film. Then the polarization sensitivity of the system is simulated and modeled by CODEV software, and the macro file based on Mueller matrix is compiled to accurately calculate the polarization of the system in different spectral bands and different fields of view. The results indicated that the polarization sensitivity of the imaging system is better than 1.5% in the visible and near-infrared band.
KEYWORDS: Signal detection, Imaging systems, Signal to noise ratio, Clouds, Sensors, Ocean optics, Data processing, Satellites, Image processing, Interference (communication)
The lightning imager is one of the three main loads of FY-4 Meteorological Satellite. It is the first optical remote sensing device for lightning detection at high altitude in our country. It runs on the geostationary orbit, and the technical index of lightning detection has reached the international leading level. Aiming at the characteristics of high orbit lightning detection, this paper analyzes the methods of lightning detection. The lightning imager uses spectral features, time and space differences between transient lightning and slowly changing clouds, land and ocean background noise. The lightning signal is detected by combining spectral filtering, time filtering, spatial filtering and frame frame background removal, and the continuous multi frame data is in real time on orbit. Theory, target extraction and coding. Through orbit verification, the lightning imager can detect the lightning signals of different intensity in the coverage area in real time, and predict, warn and track the strong convective weather in the region more timely and accurately.
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