After analyzing the properties of the imaging scheduling problem of emergent condition of CBERS series EOSs (Earth Observing Satellites)

we propose an approach of emergent imaging scheduling.We formulate the problem as path search of acyclic directed graph.On this basis

firstly we propose the conception of delay non-dominant path

then propose the multi-objective imaging scheduling algorithm basing on label correcting

which improve the efficiency of path search by forbidding the delay dominated path.And we also prove that the algorithm can find all the multi-objective optimization solutions.We also analyze the complexity of the algorithm simply.At last

the approach is tested on different emergent imaging scheduling problems of CBERS EOS series.Theoretical Analysis and experimental results shows that the proposed approach is successful in solving the emergent imaging scheduling problem of EOS.