SAR-To-Optical Translation Using Conditional Diffusion Models for Wildfire-Burned Area Segmentation
Author:
Affiliation:
1. KTH Royal Institute of Technology,Division of Geoinformatics,Stockholm,Sweden,11428
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641072.pdf?arnumber=10641072
Reference15 articles.
1. Climate change increases the risk of wild-fires;Jones;ScienceBrief,2020
2. Climate change more than doubled the likelihood of extreme fire weather conditions in eastern canada;Barnes,2023
3. Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning
4. A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data
5. GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data
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