Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks
Wildfires continue to occur every year, resulting in millions of acres of burned areas. This makes the task of mapping the burned areas arduous, and it is exacerbated by the fact that many of these burned areas are in remote and hard-to-reach regions. Satellite imagery with the highest freely availa...
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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/11071946/ |
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