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Found 4 papers, 4 papers with code
Edge-Computing-Enabled Deep Learning Approach for Low-Light Satellite Image Enhancement
Edge computing enables rapid data processing and decision-making on satellite payloads.
SWRNet: A Deep Learning Approach for Small Surface Water Area Recognition Onboard Satellite
This article proposes a deep learning approach for small surface water recognition using multispectral satellite imaging, which reduces the computational complexity by 18. 66 times and increases the accuracy of surface water recognition by up to 14. 1%.
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2D Semantic Segmentation
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Deep Learning for Landslide Recognition in Satellite Architecture
Using the optical camera in remote sensing is limited in various environmental conditions.
Adaptive multi-focus regions defining and implementation on mobile phone
To perform the identification of focused regions and the objects within the image, this thesis proposes the method of aggregating information from the recognition of the edge on image.
