AI that Reconstructs Cloud-Covered Ground in Satellite Images with Photo-Like Clarity
5 Articles
5 Articles
Domestic researchers have developed artificial intelligence (AI) capable of restoring satellite images obscured by clouds and converting radar images into a format similar to standard photographs. Trained on 10 million pairs of satellite images, the AI is expected to be utilized in disaster response and environmental monitoring. A research team led by Professor Moon-Chul Kim of the Department of Electrical and Electronic Engineering at KAIST dev…
AI that reconstructs cloud-covered ground in satellite images with photo-like clarity
Satellite images of the Earth are not always easy to use. Clouds can block the view of the ground, and images captured with some methods look different from ordinary photographs, which makes them difficult to interpret. A KAIST research team has developed an artificial intelligence model that learns the appearance of diverse terrain and cities. The model can restore cloud-covered images and convert radar images into images that resemble ordinary…
Research report: KAIST develops AI that reconstructs cloud-covered ground
KAIST’s GeoCore-9B outperformed task-specific systems on key public-dataset measures for cloud removal and led some radar-to-optical conversion metrics.
Density clouds often cover large parts of the earth's surface on optical satellite images. A newly developed AI model complements such image areas in comparative tests more precisely than several specialized methods and also transforms radar images into photo-like views. However, the images generated are calculated reconstructions and not direct measurements of the hidden terrain. Daejeon (South Korea). Clouds can be seen from Earth observation …
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