DAFDM: A Discerning Deep Learning Model for Active Fire Detection Based on Landsat-8 Imagery
Monitoring active fire (AF) utilizing remote sensing imagery provides critical support for fire rescue and environmental protection. Traditional methods for detecting AFs rely on the statistical analysis of AF radiance and background features. However, these algorithms are resource-intensive to deve...
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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/10902470/ |
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