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Found 3 papers, 3 papers with code
GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
In this paper, we introduce a challenging global large-scale ship database (called GLSD), designed specifically for ship detection tasks.
Pan-sharpening via High-pass Modification Convolutional Neural Network
Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose a novel pan-sharpening convolutional neural network based on a high-pass modification block.
Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Despite their success, however, low/high spatial resolution pairs are usually difficult to obtain in satellites with a high temporal resolution, making such approaches in SR impractical to use.
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