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Remote Sensing Image Intelligent Interpretation Based on Knowledge Graph

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Book cover Space Information Networks (SINC 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 803))

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Abstract

Recently more and more observation sensors carried by different platforms make people be able to obtain massive multi-source data, this kind of explosive increase of information extraction brings great challenge. However, remote sensing image interpretation depends on the knowledge from experience of the experts, there are also few available knowledge graphs for the intelligent interpretation of multi-source remote sensing big data. In this article, we provide a survey of such knowledge graph and propose the framework to auxiliary interpreters.

This work was supported by National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences (CXJJ-16M109).

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Authors and Affiliations

  1. Beijing Institute of Remote Sensing Information, Beijing, 100192, China

    Bitao Jiang & Lin Cai

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

    Lei Ma

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  1. Bitao Jiang
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  2. Lei Ma
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  3. Lin Cai
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Corresponding author

Correspondence to Lei Ma .

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Editors and Affiliations

  1. Institute of China Electronic Equipment, Beijing, China

    Quan Yu

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Jiang, B., Ma, L., Cai, L. (2018). Remote Sensing Image Intelligent Interpretation Based on Knowledge Graph. In: Yu, Q. (eds) Space Information Networks. SINC 2017. Communications in Computer and Information Science, vol 803. Springer, Singapore. https://doi.org/10.1007/978-981-10-7877-4_30

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  • DOI: https://doi.org/10.1007/978-981-10-7877-4_30

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  • Print ISBN: 978-981-10-7876-7

  • Online ISBN: 978-981-10-7877-4

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