To improve the accuracy of the multi-target detection for remote sensing image in the dynamic aircraft supervision system, a target detection method was proposed. First, two new rotation-invariance features, named center-particle angle and H-vector, are introduced. Then, the sliding detection window is used to calculate the center-particle angle and correlation coefficient of H-vector. Also, the corresponding scoring system is designed according to the matching degree of template feature to determine if there is a plane in the detection window under the assistant of non-maximum suppression. The remote sensing images of aircraft under different scenes were detected in experiment, the results show that the average F1-score reaches above 90%, and both of the recall rate and precision are higher than some traditional methods in wider scope of application.