## 2 Related Work
### MSIMP Applications in Different Areas  
MSIMP involves multiple areas of expertise. Figure 1 describes the relevant knowledge involved in MSIMP according to the pre-processing phase, mission planning phase, execution phase, and feedback replanning phase. Figure 2 describes the MSIMP application in various fields in detail. Figure 1: Relevant knowledge involved in MSIMP. Figure 2: MSIMP application in different fields. The pre-processing phase involves satellite dynamics, remote sensing technology, and systems engineering, which are the key areas of knowledge required to provide basic support for the calculation of the initial satellite orbit parameters, the performance of satellite imaging to meet the mission resolution requirements, and the development of the MSIMP system architecture. Knowledge of satellite dynamics ensures the position and attitude control of the satellites during mission execution by accurately calculating their orbital parameters. Remote sensing technology is not only used to ensure that the imaging equipment meets the resolution requirements of a specific mission but also includes the enhancement of geo-positioning accuracy, data acquisition speed, and environmental adaptability to ensure reliable performance under different observation conditions. System engineering comprehensively considers the architectural design and realization of the whole MSIMP process, ensuring the coordinated and efficient operation of the subsystems [21]. 2. The mission planning phase involves optimization theory, image processing, and control theory. Optimization theory determines the satellite's imaging mission sequence, which refers to the prioritized order of observation tasks, and the time window, defined as the period during which the satellite can perform a specific imaging task. Various optimization algorithms are used to maximize mission efficiency and resource utilization by optimally scheduling both factors. Image-processing techniques are employed to analyze and process surface observation images captured by satellites during mission execution. These techniques assist in determining the optimal imaging paths and target areas by identifying key regions, analyzing geographic features, and evaluating environmental factors. The goal is to detect spatial distributions, boundaries, and changes in target characteristics, enabling the optimization of satellite flight paths to maximize coverage of the mission area [22]. 3. The execution phase involves communication technology, computer science, and systems engineering. Communication technology is used to ensure coordinated communication between multiple satellites for the efficient transmission and sharing of data and instructions. Computer science enables the real-time processing, analysis, and storage of imaging data to ensure data availability. Systems engineering is responsible for coordinating the stable operation of the subsystems within the MSIMP system, ensuring the seamless and efficient operation of the different stages of the mission execution process [23]. 4. The feedback replanning phase involves environmental science, human-computer interaction, and economics and cost analysis. Environmental science techniques are employed to monitor real-time environmental conditions, such as weather changes and light intensity, providing crucial data to the MSIMP. Based on these real-time data, MSIMP dynamically adjusts the satellite observation plan or flight path to mitigate the impact of environmental factors, ensuring that the mission is completed on time and achieves the desired outcomes. Using environmental data, multiple satellites can also adjust parameters such as imaging angle and resolution, optimizing both image quality and overall mission effectiveness. The human-computer interaction system helps the satellite controllers to intuitively and easily make adjustments to the target mission and improve decision making efficiency and accuracy.