Remote sensing image and video fusion method based on digital twin

Hanwei Guo

doi:10.1117/12.2572350

20 September 2020 Remote sensing image and video fusion method based on digital twin

Hanwei Guo

Proceedings Volume 11533, Image and Signal Processing for Remote Sensing XXVI; 115331D (2020) https://doi.org/10.1117/12.2572350
Event: SPIE Remote Sensing, 2020, Online Only

Abstract

In the network world, the physical model, sensor update, running history and other data mapping a three- dimensional world, this is digital twinning. Remote sensing image combined with high precision elevation data can reproduce three-dimensional space-time background. Based on the data of historical remote sensing image, the target is detected, located, classified and recognized from real-time video data, the spatiotemporal behavior of the role is extracted, the spatiotemporal events are predicted, and the spatiotemporal scenario twin mapping is completed by using simulation technology in virtual space.Through image texture matching, special point alignment and geometric transformation, the spatiotemporal alignment of video and remote sensing images is completed.Under the condition of no control points and obvious markers, the relative motion conditions of the target and the sensor are used to realize the simultaneous detection, positioning, tracking and recognition of the target.The twin fusion of satellite video, UAV video and surveillance video and remote sensing image is completed through experiments, which is helpful to better understand space-time analysis and influence space-time control decision.

Citation Download Citation

Hanwei Guo "Remote sensing image and video fusion method based on digital twin", Proc. SPIE 11533, Image and Signal Processing for Remote Sensing XXVI, 115331D (20 September 2020); https://doi.org/10.1117/12.2572350

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KEYWORDS

Image fusion

Target detection

Video

Remote sensing

Digital imaging

Image filtering

Image sensors

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