Abstract
Satellite mission planning is the basis and top-level work of space missions and the beginning of each space mission. Therefore, the scientific research of satellite mission planning is very important. By analyzing the existing research results, we can know that the research on task planning mainly focuses on three aspects: research objects, established model, and solution algorithm. Starting from these three aspects vertically and then horizontally, this paper comprehensively discusses the theoretical basis, application, and advantages and disadvantages of related technologies in the research literature in recent years. Finally, based on the research on satellite mission planning, this paper puts forward its own views on the future development direction and research focus.
Highlights
The vast universe has been a mystery field that mankind has longed for since ancient times
Satellite mission planning is divided into single satellite single load mission planning, multisatellite single load mission planning, and multisatellite multiload mission planning according to satellites and loads
This section mainly combs three types of models commonly used in imaging satellite mission planning research, namely, constraint satisfaction model, integer programming model, and general problem model
Summary
The vast universe has been a mystery field that mankind has longed for since ancient times. Remote sensing is a long-distance, noncontact target detection technology and method. It uses artificial satellites or other aircraft to detect targets, acquire target information, and process the acquired information, thereby qualitatively positioning or quantitatively describing the target [1]. Satellite mission planning plays a key role in the whole process of earth observation and has been thoroughly studied by domestic and foreign scholars for a long time. In the model building phase, the study focuses on how to model the task planning problem so that it can be solved with simulation algorithms. The discipline of artificial intelligence has developed rapidly, and the research of solving task planning has International Journal of Aerospace Engineering
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