KO
|
EN
gitlite — search
Search
#ios
#macos
#swift
#python
#react
#hacktoberfest
#javascript
#cpp
#php
#testing
#docker-compose
#spring-boot
RCFSNet
★ 61
Open GitHub ↗
Road extraction from satellite imagery
Download README (.md)
Explore Similar Repositories
Mpesa-Daraja-Api
:
No description available.
core
:
A PHP library that makes using Telegram Bot API much easier.
naive-ui-nuxt-demo
:
No description available.
Solidity-SBT-Soul-Bound-Token
:
An experiment in creating a soul bound token (SBT)
SelfPatch
:
No description available.
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
RCFSNet
?
Download (.md)
# RCFSNet Road Extraction From Satellite Imagery by Road Context and Full-Stage Feature Abstract：Road extraction from satellite imagery is vital in a broad range of applications. However, extracting complete roads is challenging due to the road occlusions caused by surroundings. This paper proposed an improved encoder-decoder network via extracting road context and integrating full-stage features from satellite imagery, dubbed as RCFSNet. A multi-scale context extraction (MSCE) module is designed to enhance the inference capabilities by introducing adequate road context. Multiple full- stage feature fusion (FSFF) modules in the skip connection are devised to provide accurate road structure information, and we devise a coordinate dual attention mechanism (CDAM) to strengthen the representation of road features. Extensive experiments are carried out on two public datasets, as a result, our RCFSNet outperforms other state-of-the-art methods. The results indicate that the road labels extracted by our method have preferable connectivity. # Code Our code is based on DLinkNet . ### Training DeepGlobe `python main_RCFSNet_road.py` Massachusetts `python main_RCFSNet_Mas.py` ### Evaluation DeepGlobe `python test_RCFSNet_ROAD.py` Massachusetts `python test_RCFSNet_Mas.py`
