Electromagnetic detection satellite(EDS) holds a significantly important role in the fields of antiterrorism and salvage. Considering the uncertainties of the electromagnetic detection satellite area search tasks in space-frequency domain, the uncertain factors' quantitative description models of the EDS area search problem(EDSASP) were proposed. So were the decision elements' models. An EDS task scheduling technique based on Bayesian decision-making was put forward, and the EDS scheduling model in uncertain space-frequency domain environments was also established, aiming to optimize the objectives of the information detecting reward and the front interception reward. The simulation instances demonstrate that the technique can effectively deal with the EDS detecting problem and the performance goes on well.