System and method for meteorological information-assisted satellite imaging task planning

Abstract

The invention discloses a system and a method for the meteorological information-assisted satellite imaging task planning. The method comprises the steps of 1, collecting observation requirements; 2,performing imaging task treatment on an observation target; (wherein the target region divided into small regions of 10 * 10 degrees by dividing longitude and latitude grids in the global range according to a cone projection mode during the task planning process; and the divided small regions are subjected to matching and judging during the cloud cover judgment) 3, performing cloud cover inspection for each imaging scheme (based on a statistical threshold value of 75%), removing pre-arranged plans which do not meet the cloud cover constraint condition, screening out a plan set which most meetsan optimal strategy, arranging plans according to the imaging time and the imaging angle, and generating a final planning scheme; 4, respectively transmitting the information of an imaging scheme and a receiving scheme to a satellite and a ground receiving station. According to the scheme, the cloud cover in each target imaging region can be evaluated before satellite imaging, so that the imaging quality can be obviously improved.

Description

technical field [0001] The invention belongs to the field of satellite applications, and in particular relates to a system and method suitable for meteorological information-assisted satellite imaging task planning. Background technique [0002] With the rapid development and diversification of satellite application fields, the service demand for remote sensing satellite imaging applications is also increasing. Usually, the constraints of the satellite platform and its payload capabilities, such as satellite pitch maneuverability, satellite perturbation, and camera performance, will directly affect whether the satellite can be imaged, and will be considered in mission planning, while cloud cover will directly affect the quality of satellite imaging. This important factor is not considered in the planning of imaging missions in China. [0003] Taking the PRSS-1 panchromatic multi-spectral remote sensing satellite as an example, the characteristics of the mission planning sys...

AI Technical Summary

Problems solved by technology

The general problems faced by satellite imaging are: high cost, limited star source, and very limited imageable resources

Using the traditional remote sensing satellite imaging mission planning algorithm meets the constraints of satellite platforms and payloads; however, meteorological statistics show that cloudy days (stratus) are defined as cloud cover exceeding 75%, and stratus clouds are dense and transparent. In this environment, It is basically impossible to see the ground conditions clearly on the images taken by remote sensing satellites, so if the influence of cloud cover is not considered, there will be problems such as poor ground visibility of satellite imaging affected by cloud cover and waste of satellite resources

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