Intelligent global geo-environmental change detection by multi-modal image fusion

Dong Lin; Xiaojie Cui; Junfeng Xu; Pengyi Tian

doi:10.1117/12.2604539

5 October 2021 Intelligent global geo-environmental change detection by multi-modal image fusion

Dong Lin, Xiaojie Cui, Junfeng Xu, Pengyi Tian

Author Affiliations +

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110Q (2021) https://doi.org/10.1117/12.2604539
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

In this paper, we first reviewed the development of remote sensing satellites in China, subsequently establishing that artificial intelligence (AI) is the key to achieve global geographic environment change monitoring in the era of big data. Next, to improve existing specialized and isolated AI solutions, we proposed a change detection method based on the geometric registration of multi-modal images and the fusion of multi-modal radiation information. Our objective was to promote the development of artificial intelligence technology and multi-modal remote sensing image fusion technology in the field of intelligent change detection of global geographic environment.

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Dong Lin, Xiaojie Cui, Junfeng Xu, and Pengyi Tian "Intelligent global geo-environmental change detection by multi-modal image fusion", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110Q (5 October 2021); https://doi.org/10.1117/12.2604539

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KEYWORDS

Image fusion

Remote sensing

Artificial intelligence

Image classification

Image registration

Neural networks

Satellites

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