предыдущий|следующий

Intelligent mapping with remote sensing， iMap

  • role： First author第一作者
  • Affiliation：

    Department of Earth System Science, Tsinghua University, Beijing 100084, China

  • Email：penggong@tsinghua.edu.cn
  • Introduction：宫鹏，1965年生，男，教授，研究方向为全球环境变化检监测、环境与健康。E-mail:penggong@tsinghua.edu.cn
GONG Peng

реферат

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.

ключеви́че слова́

AI and mapping;knowledge transfer;cross-walkable classification system;big data

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