The invention discloses a multi-
satellite joint
area coverage planning method based on a convex
hull, and aims to solve the problems of high calculation complexity and low multi-
satellite cooperation efficiency of a complex area observation task, and the method comprises the steps: obtaining a coordinate set of area boundary points, traversing all boundary point sets through a convex
hull algorithm, and finding out a plurality of convex
hull vertexes to construct a convex hull vertex set; the method comprises the following steps: acquiring
satellite orbit data, traversing a convex hull vertex set, designing a satellite-region pre-screening strategy, calculating region key feature points through convex hull vertexes and
orbit data, and constructing a feasible space-time envelope; the method comprises the following steps: acquiring satellite historical
observation data, introducing a
knowledge base data-driven optimization task construction method, determining an adaptive
discretization interval based on
knowledge base data, generating sub-region observation tasks based on space-time envelope division, and constructing a satellite-region-observation task
gene pool; and performing iterative optimization based on the
gene pool by using an improved
genetic algorithm to obtain a task planning scheme. According to the method, the calculation amount generated by a multi-satellite joint observation area task scheduling
algorithm can be reduced, it is ensured that multiple satellites can efficiently and cooperatively complete the area observation task, and the planning efficiency is improved.