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Tensorflow implementation of the TGRS paper entitled Oil Spill Segmentation via Adversarial f-Divergence Learning.

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xingruiyu/OilSeg-SGAN.tensorflow

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Adversarial f-Divergence Learning

Tensorflow implementation of TGRS paper Oil Spill Segmentation via Adversarial f-Divergence Learning.

We fetch lots of code from https://github.com/affinelayer/pix2pix-tensorflow. Thanks for their excellent project.

Requirement

CUDA 8.0
tensorflow 1.0.0

Usage

run with GAN
sh oilseg_gan.sh

run with the proposed Adversarial f-Divergence Learning
sh oilseg_sgan.sh

If you find our method useful, please feel free to cite our paper.

@ARTICLE{8301576, 
author={X. {Yu} and H. {Zhang} and C. {Luo} and H. {Qi} and P. {Ren}}, 
journal={IEEE Transactions on Geoscience and Remote Sensing}, 
title={Oil Spill Segmentation via Adversarial$f$-Divergence Learning}, 
year={2018}, 
volume={56}, 
number={9}, 
pages={4973-4988}, 
keywords={Oils;Image segmentation;Synthetic aperture radar;Minimization;Training;Generators;Manuals;Adversarial learning;f-divergence minimization;oil spill segmentation;synthetic aperture radar (SAR) image processing}, 
doi={10.1109/TGRS.2018.2803038}, 
ISSN={0196-2892}, 
month={Sep.},}

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Tensorflow implementation of the TGRS paper entitled Oil Spill Segmentation via Adversarial f-Divergence Learning.

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