Objectives  Facing the demand for mobile intelligent services in the era of internet of everything, it is an urgent need to establish an aerial-ground collaborative intelligent service platform. Due to the limitations of core equipments and algorithms, the development of aerial-ground collaborative mobile intelligent service platform is relatively slow.

  Methods  Therefore, we break through the core technologies of real-time position and attitude measurement of sensors, develop the airborne and vehicle mounted aerial-ground multi-platform collaborative networking remote sensing observation system, and realize the quality improvement and intelligent and fine processing of multi-source remote sensing images, which can effectively support remote sensing mapping services, and improve the level of automatic processing of remote sensing information.

  Results  Thus, our research solves the problems of "accuracy, speed and flexibility" in the aerial-ground collaborative intelligent service platform, and realizes the global autonomous positioning of "BeiDou navigation satellite system with position and attitude measuring instrument", rapid target searching under the aerial-ground collaborative networking, and automatic change checking under intelligent processing.

  Conclusions  The aerial-ground collaborative mobile intelligent service platform has been widely used in the monitoring of geographical conditions, smart city planning and construction, emergency mapping support and other industries.