In target tracking mission planning, one of the difficulties is to generate Multi-sensor mission planning under the guidance of resources information. This paper proposes a SVM-based target tracking multi-sensor mission planning method. The method firstly generates a mission-planning database as a training set based on typical mission scenarios. Then, the hierarchical learning model was established by SVM algorithm, and the sensor-target allocation and sensor resource allocation were carried out respectively. After the model was trained by the scheme database, the intelligent generation of mission planning scheme can be realized. So that the feasibility and robustness of the method are verified by simulation