Remote sensing intelligent interpretation brain: real-time intelligent understanding of the Earth

Yuting Wan, Ce Zhang, Ai-Long Ma, Zihang Chen, Chen Sun, Junjue Wang, Zhuo Zheng, Fanglin Bao, Liangpei Zhang, Yanfei Zhong*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)

Abstract

The large-scale understanding of nature and human activities in real time cannot be separated from Earth observation. Existing monitoring techniques, however, rely primarily on offline processing, with a separation between software and hardware in collection, processing and transmission processes. This limits the ability and timeliness in response to emergency tasks such as disaster relief and nighttime rescue. Our brain can process real-time information across different scales and modalities through perception, cognition, transmission and decision-making, to take informed actions rapidly. Such an intelligent ability inspires us to establish a novel remotely sensed brain, by combining multi-modal data processing, network transmission and communication on-the-fly, to demonstrate new understanding of the Earth. The remotely sensed brain can operate as online acquisition, real-time processing and transmission with low computational power and communication blocking constraints. It, therefore, has practical utility and wide applicability in extremely harsh conditions, providing all-day and online response automatically.
Original languageEnglish
Article numberpgaf182
Pages (from-to)1-11
Number of pages11
JournalPNAS Nexus
Volume4
Issue number6
DOIs
Publication statusPublished - 6 Jun 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published by Oxford University Press on behalf of National Academy of Sciences.

Keywords

  • Earth observation
  • Remote sensing
  • Real time
  • City understanding
  • Emergency response

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