Stars
a fast parallel algorithm for thinning digital patterns implemented in python
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery
Pytorch codes for 'LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images'
CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Deep networks for Earth Observation
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
RoadRunner: improving the precision of road network inference from GPS trajectories
Python library for deep learning based map generalisation
Joint scene classification and semantic segmentation with FuseNet
实现unet，以及改进版，deeplapv3+，等网络结构，同时可以快速训练，识别进行语义分割！
📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护
Cross-Modal Information Propagation For Road Extraction
A Structure-aware Road Extraction Method for Road Connectivity and Topology Correction
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
The source code of CVPR 2019 paper "Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery"
This is the code for "DelvMap: Completing Residential Roads in Maps Based on Couriers' Trajectories and Satellite Imagery".
Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.
Learning to Generate Maps from Trajectories (AAAI'20)
省市区县乡镇三级或四级城市数据，带拼音标注、坐标、行政区域边界范围；2025年01月14日最新采集，提供csv格式文件，支持在线转成多级联动js代码、通用json格式，提供软件转成shp、geojson、sql、导入数据库；带浏览器里面运行的js采集源码，综合了中华人民共和国民政部、国家统计局、高德地图、腾讯地图行政区划数据
Implement of Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method