Through the combination of active and passive detection, the marine science mission will realize the integrated remote sensing of marine dynamic and ecological parameters, fill the gap of sub-mesoscale perspective observation, and take a key step toward three-dimensional remote sensing of "transparent ocean". The satellite will operate in a sun-synchronous orbit and will be equipped with lidar and a light-weighted multispectral camera. Among them, the camera has 8 multispectral bands with a spatial resolution of 20m and a width of 160km. In this paper, the simulation calculation of the sun glints area is carried out for the two installation methods, which are formal and oblique, and the four typical simulation time nodes are spring equinox, summer solstice, autumn equinox, and winter solstice. The results show that the proportion of single-track sun glints area on the summer solstice is about 37.5% and 34.0%, respectively, which is the highest time point of the year, and the equator, tropic of Capricorn and tropic of cancer regions will produce 100% of the sun glints area at different time points. Compared with the formal form, the total proportion of sun glints area is reduced by about 10% for the oblique form, which will improve the effective data rate in orbit and improve the efficiency of satellite imaging. At the same time, this paper briefly describes the satellite calibration mode according to the combination of active and passive imaging. It will guide the subsequent satellite design and application.
The existing space-based remote sensing has problems such as weak collaboration, slow response, and long links, which cannot meet the application requirements of real-time anomaly detection, recognition, and transmission. This article studies the characteristics of existing surface anomaly classification, establishes a demand matrix for anomaly remote sensing, establishes a new surface anomaly real-time detection system, and proposes a working mode for anomaly real-time recognition, using the constellation system task and information flow design combined with the on-board intelligent processing unit, improve the anomaly recognition and service capability of the space-based system, design the mission flow and information flow of the constellation system, and finally analyze the communication link and timeliness of the system. The simulation analysis results show that the system can achieve minute level efficient anomaly recognition and early warning, effectively improving the service capability to users, this provides an overall idea and architectural reference for the construction of future space-based surface anomaly real-time detection systems.
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