  When using constellation synergy to image large areas for reconnaissance, it
is required to achieve the coverage capability requirements with minimal
consumption of observation resources to obtain the most optimal constellation
observation scheme. With the minimum number of satellites and meeting the
real-time ground coverage requirements as the optimization objectives, this
paper proposes an optimized design of satellite constellation configuration for
full coverage of large-scale regional imaging by using an improved simulated
annealing algorithm combined with the real-time coverage evaluation method of
hexagonal discretization. The algorithm can adapt to experimental conditions,
has good efficiency, and can meet industrial accuracy requirements. The
effectiveness and adaptability of the algorithm are tested in simulation
applications.
