[HTML][HTML] Road extraction in remote sensing data: A survey
Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
Image based techniques for crack detection, classification and quantification in asphalt pavement: a review
Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Road extraction methods in high-resolution remote sensing images: A comprehensive review
R Lian, W Wang, N Mustafa… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Road extraction from high-resolution remote sensing images is a challenging but hot
research topic in the past decades. A large number of methods are invented to deal with this …
research topic in the past decades. A large number of methods are invented to deal with this …
Reconstruction bias U-Net for road extraction from optical remote sensing images
Automatic road extraction from remote sensing images plays an important role for
navigation, intelligent transportation, and road network update, etc. Convolutional neural …
navigation, intelligent transportation, and road network update, etc. Convolutional neural …
MRENet: Simultaneous extraction of road surface and road centerline in complex urban scenes from very high-resolution images
Automatic extraction of the road surface and road centerline from very high-resolution (VHR)
remote sensing images has always been a challenging task in the field of feature extraction …
remote sensing images has always been a challenging task in the field of feature extraction …
NIGAN: A framework for mountain road extraction integrating remote sensing road-scene neighborhood probability enhancements and improved conditional …
Mountain roads are a source of important basic geographic data used in various fields. The
automatic extraction of road images through high-resolution remote sensing imagery using …
automatic extraction of road images through high-resolution remote sensing imagery using …
Cascaded attention DenseUNet (CADUNet) for road extraction from very-high-resolution images
J Li, Y Liu, Y Zhang, Y Zhang - ISPRS International Journal of Geo …, 2021 - mdpi.com
The use of very-high-resolution images to extract urban, suburban and rural roads has
important application value. However, it is still a problem to effectively extract the road area …
important application value. However, it is still a problem to effectively extract the road area …
Road extraction of high-resolution remote sensing images derived from DenseUNet
Road network extraction is one of the significant assignments for disaster emergency
response, intelligent transportation systems, and real-time updating road network. Road …
response, intelligent transportation systems, and real-time updating road network. Road …
GAMSNet: Globally aware road detection network with multi-scale residual learning
Road detection from very high-resolution (VHR) remote sensing imagery is of great
importance in a broad array of applications. However, the most advanced deep learning …
importance in a broad array of applications. However, the most advanced deep learning …
[HTML][HTML] Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images
Road extraction from optical remote sensing images has many important application
scenarios, such as navigation, automatic driving and road network planning, etc. Current …
scenarios, such as navigation, automatic driving and road network planning, etc. Current …