Stressed Vegetation Identification Under Natural Gas Microleakage From Hyperspectral Images Using Stacked Autoencoder and Multiscale Three-Dimensional Convolutional Neural Network
Recent article demonstrated that hyperspectral imagery can indirectly identify underground natural gas microleakage through the stress symptom of surface vegetation. Leveraging the abundant spectral and spatial information in hyperspectral imagery, a novel approach combining stacked autoencoder (SAE...
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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/10601214/ |
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