Multitask segmentation from satellite imagery for burned area delineation and severity estimation
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A multi-task learning semantic segmentation approach is employed for targeting both wildfire delineation and burn severity estimation. By exploiting a large dataset of images from past wildfires and integrating both tasks into a single network can exceed the state-of-the-art results on this topic.
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MatteoM95/Multitask-segmentation-from-satellite-imagery-for-burned-area-delineation-and-severity-estimation
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A multi-task learning semantic segmentation approach is employed for targeting both wildfire delineation and burn severity estimation. By exploiting a large dataset of images from past wildfires and integrating both tasks into a single network can exceed the state-of-the-art results on this topic.
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