Accurate Urban Road Centerline Extraction from VHR Imagery via Multiscale Segmentation and Tensor Voting [PDF]
, 2015 25 pages, 11 ...
Cheng, Guangliang +3 more
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A Method for Accurate Road Centerline Extraction From a Classified Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014 Accurate road centerline extraction plays an important role in practical remote sensing applications. Most existing centerline extraction methods have many limitations when the classified image contains complicated objects such as curvilinear, close, or short extent features.
Zelang Miao +3 more
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Road Extraction in SAR Images Using Ordinal Regression and Road-Topology Loss
Remote Sensing, 2021 The road extraction task is mainly composed of two subtasks, namely, road detection and road centerline extraction. As the road detection task and road centerline extraction task are strongly correlated, in this paper, we introduce a multitask learning ...
Xiaochen Wei, Xiaolei Lv, Kaiyu Zhang
doaj +1 more source
Road network extraction using multi-layered filtering and tensor voting from aerial images
Egyptian Journal of Remote Sensing and Space Sciences, 2021 Road network extraction from high-resolution aerial images is a predominant research area in remote sensing due to road network applications in various applications like transportation and industrialization disaster management.
Pramod Kumar Soni +2 more
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Dual-Task Network for Road Extraction From High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 In high-resolution remote sensing images, road scale diversity and occlusions caused by shadows, buildings, and vegetation often pose challenges for road extraction.
Yuzhun Lin +4 more
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Automatically Tracking Road Centerlines from Low-Frequency GPS Trajectory Data
ISPRS International Journal of Geo-Information, 2021 High-quality digital road maps are essential prerequisites of location-based services and smart city applications. The massive and accessible GPS trajectory data generated by mobile GPS devices provide a new means through which to generate maps. However,
Banqiao Chen +3 more
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Leveraging optical and SAR data with a UU-Net for large-scale road extraction
International Journal of Applied Earth Observations and Geoinformation, 2021 Road datasets are fundamental and imperative for traffic management and urban planning. Different high-resolution optical remote sensing images are widely used for automatic road extraction but the results are usually limited to local scale and spectral ...
Yinyi Lin +6 more
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DeepWindow: Sliding Window Based on Deep Learning for Road Extraction From Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The road centerline extraction is the key step of the road network extraction and modeling. The hand-craft feature engineering in the traditional road extraction methods is unstable, which makes the extracted road centerline deviated from the road center
Renbao Lian, Liqin Huang
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USING OF VHR SATELLITE IMAGES FOR ROAD NETWORK EXTRACTION IN EGYPT [PDF]
JES: Journal of Engineering Sciences, 2020 Roads extraction from VHR satellite images are very paramount for GIS and map updating. Due to the high resolution of satellite images, there are many obstacles broken roads such as shadow, and vehicles.
Beshoy Nady +3 more
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Extracting 3D parametric curves from 2D images of Helical objects [PDF]
, 2017 Helical objects occur in medicine, biology, cosmetics, nanotechnology, and engineering. Extracting a 3D parametric curve from a 2D image of a helical object has many practical applications, in particular being able to extract metrics such as tortuosity ...
Jackson, Philip T.G. +3 more
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