Discrete grid systems are crucial for completing satellite observation tasks. However, there is currently no grid system dedicated to multisatellite joint regional coverage (MSJRC). In this letter, a new inclined grid system named Inclined Scalable Grid System (isGS) considering orbit inclination is constructed based on equal-area projection. Congruent square cells endow the grid with good scalability, making it more adaptable to different swaths in a constellation. Furthermore, to quickly solve the regional coverage problem, an improved heuristic algorithm combined with isGS is designed. Elements from real satellites and target regions are used to verify the proposed methods. Experimental results indicate that the mean value of covered cells under isGS increases 51.78% at maximum and the improved algorithm speeds up by up to 80.27% while ensuring accuracy. In summary, the methods and findings presented in this letter can increase the utilization efficiency of satellite resources, increase the frequency of satellite image acquisition, and provide reliable quantitative reference for remote sensing constellation construction.

中文翻译：

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多卫星联合区域覆盖倾斜可扩展网格系统及改进启发式算法

离散网格系统对于完成卫星观测任务至关重要。然而，目前还没有专门用于多卫星联合区域覆盖（MSJRC）的网格系统。在这封信中，基于等积投影构建了一种考虑轨道倾角的新型倾斜网格系统，称为倾斜可伸缩网格系统（isGS）。全等的方形单元赋予网格良好的可扩展性，使其更能适应星座中的不同条带。此外，为了快速解决区域覆盖问题，结合isGS设计了一种改进的启发式算法。来自真实卫星和目标区域的元素用于验证所提出的方法。实验结果表明，isGS下覆盖单元均值最大提升了51.78%，改进后的算法在保证精度的同时，速度提升高达80.27%。综上所述，本文提出的方法和研究结果可以提高卫星资源的利用效率，提高卫星图像的获取频率，为遥感星座建设提供可靠的定量参考。