Stars
Scale-Sets Toolkit for Segmentation of Remote Sensing Images
including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.
[IEEE TMI] Official Implementation for UNet++
We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Chainer Implementation of Semantic Segmentation using Adversarial Networks
Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
List of datasets, codes, and contests related to remote sensing change detection
Tutorial of basic remote sensing and GIS methodologies using open source software (GDAL in Python or R)
An image registration method using convolutional neural network features.
图像配准算法。包括 SIFT、ORB、SURF、AKAZE、BRIEF、matchTemplate
Awesome paper list with code about generative adversarial nets
手把手教你如何使用 mapbox/robosat 工具,基于深度学习训练,从常规的遥感影像瓦片地图服务中自动提取建筑物。
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
StarGAN - Official PyTorch Implementation (CVPR 2018)
Image-to-Image Translation in PyTorch
Synthesizing and manipulating 2048x1024 images with conditional GANs
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
A general framework for change detection of remote sensing images
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network