NWPU-LHH/Seg-CycleGAN
Seg-CycleGAN: SAR-to-Optical Image Translation Guided by a Downstream Task
This tool helps earth observation specialists and image analysts convert Synthetic Aperture Radar (SAR) images into realistic optical-style images, especially for identifying ships. It takes SAR images as input and produces high-quality, optical-styled images where ship targets are clearer. This is useful for anyone who needs to analyze satellite imagery regardless of weather conditions, but requires the visual clarity of optical data for specific tasks like maritime monitoring.
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Use this if you need to transform SAR satellite imagery into optical-style images, particularly to improve the accuracy of ship detection and segmentation.
Not ideal if your primary goal is general image translation without a specific downstream analysis task like object segmentation.
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Language
Python
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Last pushed
Apr 06, 2025
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