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遥感智能解译大脑:对地球的实时智能认知。

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

作者信息

Wan Yuting, Zhang Ce, Ma Ailong, Chen Zihang, Sun Chen, Wang Junjue, Zheng Zhuo, Bao Fanglin, Zhang Liangpei, Zhong Yanfei

机构信息

State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, PR China.

School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, United Kingdom.

出版信息

PNAS Nexus. 2025 Jun 6;4(6):pgaf182. doi: 10.1093/pnasnexus/pgaf182. eCollection 2025 Jun.

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 remote sensing intelligent interpretation brain (RSI2_Brain), by combining multimodal data processing, network transmission and communication on-the-fly, to demonstrate new understanding of the Earth. The RSI2_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.

摘要

对自然和人类活动的大规模实时了解离不开对地观测。然而,现有的监测技术主要依赖离线处理,在采集、处理和传输过程中软件和硬件相互分离。这限制了应对救灾和夜间救援等紧急任务的能力和及时性。我们的大脑可以通过感知、认知、传输和决策,跨不同尺度和模态处理实时信息,从而迅速采取明智行动。这种智能能力启发我们建立一种新型的遥感智能解译大脑(RSI2_Brain),通过结合多模态数据处理、即时网络传输和通信,来展现对地球的新认识。RSI2_Brain可以在低计算能力和通信阻塞限制的条件下进行在线采集、实时处理和传输。因此,它在极其恶劣的条件下具有实际效用和广泛适用性,能够自动提供全天候在线响应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56ec/12152476/c72702c8122d/pgaf182f1.jpg

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