Smart remote sensing network for disaster management: an overview

Ahmad, Rami

doi:10.1007/s11235-024-01148-z

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2024

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Cited by 4 publications

References 159 publications

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Enhanced drift self-calibration of low-cost sensor networks based on cluster and advanced statistical tools

Ahmad

2024

Measurement

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Enhanced drift self-calibration of low-cost sensor networks based on cluster and advanced statistical tools

Ahmad

2024

Measurement

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FMANet: Super-Resolution Inverted Bottleneck-Fused Self-Attention Architecture for Remote Sensing Satellite Image Recognition

Rauf,

Khan,

Bhatti

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Fully Automatic Geometric Registration Framework of UAV Imagery Based on Online Map Services and POS

Li,

Zhang,

Chen

et al. 2024

Drones

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Unmanned aerial vehicle (UAV) remote sensing has found extensive applications in various fields due to its ability to quickly provide remote sensing imagery, and the rapid, even automated, geometric registration of these images is an important component of their time efficiency. While current geometric registration methods based on image matching are well developed, there is still room for improvement in terms of time efficiency due to the presence of the following factors: (1) difficulty in accessing historical reference images and (2) inconsistencies in data sources, scales, and orientations between UAV imagery and reference images, which leads to unreliable matching. To further improve the time efficiency of UAV remote sensing, this study proposes a fully automatic geometric registration framework. The workflow features the following aspects: (1) automatic reference image acquisition by using online map services; (2) automatic ground range and resolution estimation using positional and orientation system (POS) data; (3) automatic orientation alignment using POS data. Experimental validation demonstrates that the proposed framework is able to carry out the fully automatic geometric registration of UAV imagery, thus improving the time efficiency of UAV remote sensing.

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Smart remote sensing network for disaster management: an overview

Cited by 4 publications

References 159 publications

Enhanced drift self-calibration of low-cost sensor networks based on cluster and advanced statistical tools

Enhanced drift self-calibration of low-cost sensor networks based on cluster and advanced statistical tools

FMANet: Super-Resolution Inverted Bottleneck-Fused Self-Attention Architecture for Remote Sensing Satellite Image Recognition

Fully Automatic Geometric Registration Framework of UAV Imagery Based on Online Map Services and POS

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