Aiming at the path planning of URAV, the GIQE (general imagery quality equation) was introduced to forecast image quality of targets. An evaluation function comprehensively considering the image quality of targets, the length of reconnaissance route and threatening factors was designed as a fitness function for particle swarm. The Pareto set can be gained through particle swarm algorithm, thus the optimal solution will be determined by weighting objectives. The simulation results showed that the UAV reconnaissance path planning considering the factor of image quality can better meet the demands of imaging reconnaissance missions.