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38-cloud-a-cloud-segmentation-dataset

This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.

atmosphericcorrection

6s模型大气校正python版本，支持GF1、2,Landsat-8,Sentinel-2等影像

cloud-removal

cloud-removal-with-gan-satellite-image-processing

An AI System based on Generative Adversarial Networks to predict and remove the Clouds and Fog from an Image captured from Satellite.

cloudremoval

cloudy-image-arithmetic

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

fpn

Feature Pyramid Networks for Object Detection

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

gabor_cnn_pytorch

WACV2018/TIP: Gabor Convolutional Networks

guided-diffusion

guided-pix2pix

[ICCV 2019] Guided Image-to-Image Translation with Bi-Directional Feature Transformation

image_dehaze

Single Image Haze Removal Using Dark Channel Prior

mspa-gan

cloud removal

pacnn

paper_download

批量下载论文

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

preserve-cd

Game Preservation Project

python-fmask4

EXPERIMENTAL implementation of Fmask4 algorithm (Qiu et al, 2019) for cloud and cloud shadow detection in Landsat and Sentinel-2 satellite imagery

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

rgan-cloud-removal

stgan

PyTorch Implementation of STGAN for Cloud Removal in Satellite Images.

stgan-1

superpixels-slic

Superpixel segmentation using SLIC with Python.

wasserstein-cyclegan

CycleGAN with Wasserstein Loss

wassersteingan