Unsupervised road extraction via a Gaussian mixture model with object-based features
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1425563
Abstract: ABSTRACT Automatic road extraction from remotely sensed images is an important and challenging task. This article proposes an unsupervised road detection method based on a Gaussian mixture model and object-based features. Our approach has five… read more here.
Keywords: road extraction; mixture model; road; gaussian mixture ... See more keywords
Semiautomatic Road Extraction From VHR Images Based on Multiscale and Spectral Angle in Case of Earthquake
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2760282
Abstract: Road extraction offers great potential for research initiatives because of the complexity due to its great topological variability. The use of remote sensing imagery to accomplish this mapping is an interesting option. Indeed, satellite images… read more here.
Keywords: resolution; extraction; spectral angle; road extraction ... See more keywords
Automatic Road Extraction From Remote Sensing Imagery Using Ensemble Learning and Postprocessing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3094673
Abstract: High-resolution satellite images contain valuable road semantic information, but the occlusion of vegetation and buildings and the sparse distribution and heterogeneous appearance of roads limit the accuracy of road extraction models. In this article, we… read more here.
Keywords: sensing imagery; road; remote sensing; ensemble learning ... See more keywords
RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3175594
Abstract: Road extraction from synthetic aperture radar (SAR) images has attracted much attention in the field of remote sensing image processing. General road extraction algorithms, affected by shadows of buildings and trees, are prone to producing… read more here.
Keywords: road; connectivity; road extraction; branch ... See more keywords
FMWDCT: Foreground Mixup Into Weighted Dual-Network Cross Training for Semisupervised Remote Sensing Road Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3188025
Abstract: With the development of deep learning, the application of automatic road extraction has achieved great success. However, the main challenge is how to make full use of a large number of unlabeled images to improve… read more here.
Keywords: road; network; remote sensing; road extraction ... See more keywords
Road Extraction by Deep Residual U-Net
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2802944
Abstract: Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network, which combines the strengths of residual learning and… read more here.
Keywords: extraction; network; extraction deep; road ... See more keywords
A Multiple Feature Fully Convolutional Network for Road Extraction From High-Resolution Remote Sensing Image Over Mountainous Areas
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2905350
Abstract: Road extraction from the remote sensing image over mountainous areas is a difficult vision problem. In this letter, we propose a multiple feature fully convolutional network (MFFCN) on the basis of FCN for mountainous road… read more here.
Keywords: sensing image; remote sensing; road extraction; road ... See more keywords
Gated Auxiliary Edge Detection Task for Road Extraction With Weight-Balanced Loss
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2985774
Abstract: Automated road extraction from very high-resolution (VHR) remote sensing imagery is important in many practical applications and has a long research history. Due to the diversity, narrowness, and sparsity of the road nature, extracting a… read more here.
Keywords: gated auxiliary; road extraction; road; task ... See more keywords
Road Extraction From Remote Sensing Images in Wildland–Urban Interface Areas
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3028468
Abstract: In this letter, we address the problem of road extraction in Wildland–urban interface (WUI) areas. In recent years, with the great success of convolutional neural networks (CNNs) in various vision-related tasks, researchers have developed many… read more here.
Keywords: urban interface; road extraction; wildland urban; remote sensing ... See more keywords
Open-Pit Mine Road Extraction From High-Resolution Remote Sensing Images Using RATT-UNet
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3065148
Abstract: With the further development of the construction of “smart mine,” the technology of mine unmanned truck has developed rapidly. Road data are an important prerequisite for the mature application of mining and transportation dispatching system… read more here.
Keywords: remote sensing; road extraction; road; ratt unet ... See more keywords
DBRANet: Road Extraction by Dual-Branch Encoder and Regional Attention Decoder
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3074524
Abstract: Although widely exploited in recent decades, road extraction is still a very significant and challenging research in the field of remote sensing image processing due to the complex background and road distribution. Among the existing… read more here.
Keywords: branch; remote sensing; road extraction; road ... See more keywords