xuejie7 Goto Github PK

airs

Road Segmentation in Satellite Aerial Images

automated-road-extraction-using-satellite-images

Automated roads extraction from satellite imagery using a combination of image processing techniques and dynamic path finding algorithms

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

coanet

CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery

ddrnet

The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep_residual_unet

Keras implementation of Road Extraction by Deep Residual U-Net article

how-to-make-high-resolution-remote-sensing-image-dataset

高分遥感影像数据集的制作

keras-image-segmentation

Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.

nllinknet

Official Code for the paper ''NL-LinkNet : Toward Lighter but More Accurate Road Extraction with Non-Local Operations" (2019)

pastis-benchmark

pytorch-unet

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

resunet-a

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

road-extraction

For my own graduation thesis

road-extraction-d-linknet

TensorFlow implementation of D-LinkNet for road extraction.

road-extraction-from-aerial-images

road-extraction-from-satellite-imagery-using-fully-convolutional-nerual-network

road-extraction-unet-attention

road-features-extraction

Road segmentation of satellite imagery

road-segmentation

Road extraction from aerial images

road_extraction_remote_sensing

Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)

road_extraction_unet

road_segmentation_ml

Road Extraction from Satellite Images with an ensemble of 3 U-Nets

road_segmentation_project

Project on road segmentation using U-Net

satellite-image-road-extraction

The file is based on a published paper and uses a new deep resnet implementation

satellite-image-semantic-segmentation-unet-tensorflow-keras

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

satellite-imagery-road-extraction

Developed a Software for semantic segmentation of remote sensing imagery using Fully Convolutional Networks (FCNs). Initially, this software developed for extracting the road network from high-resolution remote sensing imagery. And now, this software can be used to extract various features (Semantic segmentation of remote sensing imagery). This pro

satelliteextract

A pipeline for road extraction of satellite imagery by Python & PyTorch.

satelliteimagery_roadextraction

techniques

Techniques for deep learning with satellite & aerial imagery