arXiv:2311.06222
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection
원문 초록
The advancements in the state of the art of generative Artificial Intelligence (AI) brought by diffusion models can be highly beneficial in novel contexts involving Earth observation data. After introducing this new family of generative models, this work proposes and analyses three use cases which demonstrate the potential of diffusion-based approaches for satellite image data. Namely, we tackle cloud removal and inpainting, dataset generation for change-detection tasks, and urban replanning.
함께 살펴볼 논문
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A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial Differences
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
Attentive Contextual Attention for Cloud Removal
Training-free AI for Earth Observation Change Detection using Physics Aware Neuromorphic Networks
토론
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