基于混合智能的地图自动审核技术框架

地图审核是国家测绘地理信息行政主管部门的主要职责。当前我国的地图审核依赖人工目视判别，成本高、效率低。如何从高度依赖专家经验的人工检测走向混合智能的自动判断，是我国地图审核工作面临的技术难点和痛点问题。提出以知识为引导、算法为基础的地图自动审核的混合智能方法，设计了基于混合智能的地图自动审核技术框架，并指出需要重点突破的3项关键技术；并结合典型的“问题地图”智能化审核案例，给出了地图智能化审核的技术实现途径。

Hybrid Intelligence-Based Framework for Automatic Map Inspecting Technology

Map inspection is the main responsibility of the national mapping and geographic information administrative department. The current map inspection in China relies on manual visual judgment, which is costly and inefficient. How to move from manual detection highly dependent on expert experience to automatic judgment with hybrid intelligence is a technical difficulty and painful problem facing map inspecting in China. We propose a hybrid intelligence approach for automatic map inspection based on knowledge and algorithm; design a technical framework for automatic map inspection based on hybrid intelligence and point out three key technologies that need to be broken through; combined with a typical case of intelligent inspection of "problematic maps", the technical realization path of intelligent map inspection is given.