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
DEDU-Net: Dual-Encoder-Decoder-U-Net for road extraction from high-resolution remote sensing images
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2343138
Abstract: ABSTRACT The development of the modern urban economy is closely tied to road construction, with roads being one of the most crucial components in urban development. The use of high-resolution remote sensing images to monitor… read more here.
Keywords: dual encoder; encoder decoder; decoder; road ... See more keywords
SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2025.2480267
Abstract: ABSTRACT Road extraction is crucial for navigation, autonomous driving, and smart city development. With advancements in remote sensing and deep learning, the extraction of road information from remote sensing images has emerged as a prevalent… read more here.
Keywords: deformable self; structure; road; extraction ... See more keywords
Road extraction model based on stripe expansion attention module and multi-stage features
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Image and Data Fusion"
DOI: 10.1080/19479832.2025.2465533
Abstract: ABSTRACT Road extraction from remote sensing imagery is a popular and frontier research focus, since road information plays an essential role in application fields. However, extracting high-quality road information is challenging due to complex backgrounds,… read more here.
Keywords: module; attention; road; extraction ... 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
Feature Enhancement Attention for Road Extraction in High-Resolution Remote Sensing Image
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3486723
Abstract: Road extraction from images captured via remote sensing is a pivotal task across multiple domains, encompassing urban planning and intelligent transportation systems. In the realm of high-resolution remote sensing, traditional approaches to road extraction confront… read more here.
Keywords: road; remote sensing; resolution; extraction ... See more keywords
Gradient-Aware Directional Convolution With Kolmogorov Arnold Network-Enhanced Feature Fusion for Road Extraction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3605245
Abstract: Automatic road extraction from high-resolution remote sensing images is essential for urban and rural development, as well as traffic management and environmental preservation, enabling informed decisions for sustainable planning. In remote sensing images, roads are… read more here.
Keywords: fusion; road; remote sensing; 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