Hyperspectral anomaly detection leveraging spatial attention and right-shifted spectral energy
In this research, we have proposed a novel anomaly detection algorithm for processing hyperspectral images (HSIs), called the Graph Attention Network-Beta Wavelet Graph Neural Network-based Hyperspectral Anomaly Detection (GAN-BWGNN HAD). This algorithm treats each pixel as a node in a graph, where...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Public Library of Science
2025
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/123721/1/123721.pdf http://psasir.upm.edu.my/id/eprint/123721/ https://doi.org/10.1371/journal.pone.0330640 |
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