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this code implements the method proposed in paper "Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF". if it helps you, please kindly cite this paper。

Python 100.00%

weakly-supervised-segmentation-of-sar-imagery-using-superpixel-and-hierarchically-adversarial-crf's Introduction

Weakly-Supervised-Segmentation-of-SAR-Imagery-Using-Superpixel-and-Hierarchically-Adversarial-CRF

this code implements the method proposed in paper "Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF". if it helps you, please kindly cite this paper. https://www.mdpi.com/2072-4292/11/5/512

*Read_img_Gan.py : transfer the large-scale SAR image into superpixels, which will be used to Fine-tune the Hierarchy CGAN

*Hierarchy_Semi_DCGAN_FangChengGang.py : define the Hierarchy CGAN

*DCGAN_FangChengGang_16.py ： define the TCGAN

*DCGAN_FangChengGang_64.py : define the BCGAN

*torchtools.py : define some tool functions

*utils_GAN.py : define some tool functions

*main.py : the main function of this project

any problem please email me : [email protected]

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