本文基于地图制图发展趋势，提出智慧遥感制图的概念（iMap）。旨在梳理遥感制图未来的努力方向。iMap应从制图目的灵活性、制图知识可迁移性、数据多源性、多算法集成性和制图系统易用性等方面深入利用大数据和人工智能技术，创新遥感制图理论和技术。

Mapping as a human cognition behavior has experienced four stages: illustrative mapping, surveying and mapping, mapping with remote sensing, and now entering into intelligent mapping age - iMap. In this note, I argue that the next generation iMap needs at least five elements. These include flexible and cross-walkable purpose of mapping cutting across spatio-temporal scales, powerful knowledge transfer that harness digital library and knowledge extracted from the cyberspace, a diverse sources of data including social big data, an ensembled use of multiple algorithms for pattern recognition (i.e., Earth surface type labelling and target recognition), and a mapping platform that is easy to use by laypersons.