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CTREES/UCLA
- Pasadena, CA
- https://adugnag.github.io/
- @DrAdugna
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gee_s1_ard
gee_s1_ard PublicCreates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.
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deSpeckNet-TF-GEE
deSpeckNet-TF-GEE PublicThis implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR image despeckling.
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CV-deSpeckNet
CV-deSpeckNet PublicThis repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.
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deSpeckNet
deSpeckNet PublicThese are a set of scripts to train a deep learning based SAR image despeckling method.
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SAR-FCN-DK3
SAR-FCN-DK3 PublicThese are a set of functions to apply a fully convolutional network on a multi-temporal SAR images for semantic segmentation.
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