Results 11 to 20 of about 7,057 (212)

A General Spline-Based Method for Centerline Extraction from Different Segmented Road Maps in Remote Sensing Imagery [PDF]

open access: goldRemote 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
doaj   +2 more sources

Method Based on Edge Constraint and Fast Marching for Road Centerline Extraction from Very High-Resolution Remote Sensing Images [PDF]

open access: goldRemote Sensing, 2018
In recent decades, road extraction from very high-resolution (VHR) remote sensing images has become popular and has attracted extensive research efforts. However, the very high spatial resolution, complex urban structure, and contextual background effect
Lipeng Gao   +3 more
doaj   +2 more sources

Use of GMM and SCMS for Accurate Road Centerline Extraction from the Classified Image [PDF]

open access: hybridJournal of Sensors, 2015
The extraction of road centerline from the classified image is a fundamental image analysis technology. Common problems encountered in road centerline extraction include low ability for coping with the general case, production of undesired objects, and inefficiency. To tackle these limitations, this paper presents a novel accurate centerline extraction
Zelang Miao   +4 more
openaire   +4 more sources

Automatic Rural Road Centerline Detection and Extraction from Aerial Images for a Forest Fire Decision Support System [PDF]

open access: goldRemote Sensing, 2023
To effectively manage the terrestrial firefighting fleet in a forest fire scenario, namely, to optimize its displacement in the field, it is crucial to have a well-structured and accurate mapping of rural roads.
Miguel Lourenço   +4 more
doaj   +2 more sources

AUTOMATIC EXTRACTION OF ROAD CENTERLINES AND EDGE LINES FROM AERIAL IMAGES VIA CNN-BASED REGRESSION [PDF]

open access: diamondISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Abstract. Extracting roads from aerial images is a challenging task in the field of remote sensing. Most approaches formulate road extraction as a segmentation problem and use thinning and edge detection to obtain road centerlines and edge lines, which could produce spurs around the extracted centerlines/edge lines.
Y. Wei, X. Hu, M. Zhang, Y. Xu
openaire   +4 more sources

Island Road Centerline Extraction Based on a Multiscale United Feature

open access: closedIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
Accurate island road centerlines are important to tourism planning, resource development, and other applications. However, high-resolution island imaging is highly detailed with complex features, which increases the difficulty of road centerline extraction.
Ran Jing   +4 more
openaire   +2 more sources

MT-RoadNet: A heterogeneous network with local–global joint enhancement for road surface and centerline extraction

open access: goldInternational Journal of Applied Earth Observations and Geoinformation
Road network information has extensive applications, such as urban planning and navigation. However, current road extraction methods mostly rely on single model architectures and single-source remote sensing images, neglecting the potential benefits of ...
Zejiao Wang   +4 more
doaj   +2 more sources

CP_SDUNet: road extraction using SDUNet and centerline preserving dice loss

open access: diamondIAES International Journal of Robotics and Automation (IJRA)
<span lang="EN-US">Existing automatic road map extraction approaches on remote sensing images often fail because they cannot understand the spatial context of an image. Mainly because they could not learn the spatial context of the image and only knew the structure or texture of the image.
Bayu Satria Persada   +3 more
openaire   +2 more sources

Connected component-based technique for automatic extraction of road centerline in high resolution satellite images [PDF]

open access: goldEURASIP Journal on Image and Video Processing, 2015
In remote sensing analysis, automatic extraction of road network from satellite or aerial images can be a most needed approach for efficient road database creation, refinement, and updating. In this paper, a method for automatic extraction of road centerline from high resolution satellite image is proposed.
Sujatha, Chinnathevar, Selvathi, Dharmar
openaire   +2 more sources

Automatic optimization of road network clustering based on PSO for road centerline extraction [PDF]

open access: hybridJournal of Geospatial Information Technology, 2015
Fateme Ameri   +2 more
openaire   +2 more sources

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