Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration
With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully exploiting spectral information. The collaborative cloud-edge computing, as an emerging computing paradigm, aims to int...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11015979/ |
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