Results 21 to 30 of about 26,472 (224)
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
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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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International Journal of Applied Earth Observations and Geoinformation, 2023 Although existing research on road intersection detection has been widely conducted using sensor data, mapping grade-separated road intersections in three-dimensions is still lacking.
Xue Yang +5 more
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Remote Sensing, 2022 In this paper, a novel framework for the automatic extraction of road footprints from airborne LiDAR point clouds in urban areas is proposed. The extraction process consisted of three phases: The first phase is to extract road points by using the deep ...
Haichi Ma +4 more
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THE ASSESSMENT OF CURVED CENTERLINE GENERATION IN HDMAPS BASED ON POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Over the decades, autonomous driving technology has attracted a lot of attention and is under rapid development. However, it still suffers from inadequate accuracy in a certain area, such as the urban area, Global Navigation Satellite System (GNSS ...
J. C. Zeng, K. W. Chiang
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International Roughness Index Analysis of Paved Road using MLS Data [PDF]
Port Said Engineering Research Journal, 2023 Measuring the International Roughness Index (IRI) is a significant research field in developing intelligent transportation infrastructure systems. This study employed a mobile laser scanning (MLS) technique to measure the IRI from the standard deviation ...
Fekry Ashraf +2 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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Remote Sensing, 2022 Road centerline extraction is the foundation for integrating the segmented road map from a remote sensing image into a geographic information system (GIS) database. Considering that existing approaches tend to have a decline in performance for centerline
Fanghong Xiao +4 more
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An OSM Data-Driven Method for Road-Positive Sample Creation
Remote Sensing, 2020 Determining samples is considered to be a precondition in deep network training and learning, but at present, samples are usually created manually, which limits the application of deep networks.
Jiguang Dai +3 more
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