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Road Centerline Extraction From VHR Images Using SVM and Multi-Scale Maximum Response Filter
Journal of the Indian Society of Remote Sensing, 2021In this work, an integrated framework comprising of pixel-based classification, road network filtering, and multi-scale Gabor filter is proposed to address the various prevailing issues in road centerline extraction from VHR images. The proposed framework is composed of three steps; generation of the initial road map, road network filtering and road ...
Pramod Kumar Soni +2 more
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Research on road centerline extraction from aerial image based on Sorting
2009 17th International Conference on Geoinformatics, 2009According to the road extraction from moderate and low resolution aerial image, this paper presents a fast method which is based on Sorting. In the initial stage of the method, an algorithm for detecting ridge or ribbon like linear features based on sorting and simple judgment scheme is adopted; after thinning the centerline, using the initial image ...
null BingXuan Guo +2 more
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A Road Centerline Extraction Method for High-Resolution Remote Sensing Imagery
Frontiers in Optics + Laser Science APS/DLS, 2019After segmentation, the fast marching method algorithm is employed acquire the initial centerline and the tensor voting is applied for connecting the broken centerline. The correctness of the centerline is up to 95%.
Tingting Zhou, Xiaohu Zhou, Chenglin Sun
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Neurocomputing, 2016
It is very important to extract accurate road networks from high resolution remote sensing images for various applications, such as transportation database updating. However, existing approaches cannot get satisfactory results. We propose an improved road networks extraction from remote sensing images based on the shear transform, the directional ...
Ruyi Liu +4 more
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It is very important to extract accurate road networks from high resolution remote sensing images for various applications, such as transportation database updating. However, existing approaches cannot get satisfactory results. We propose an improved road networks extraction from remote sensing images based on the shear transform, the directional ...
Ruyi Liu +4 more
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Multi-Criteria, Graph-Based Road Centerline Vectorization Using Ordered Weighted Averaging Operators
Photogrammetric Engineering & Remote Sensing, 2016Abstract In this paper a novel road vectorization methodology based on image space clustering technique and weighted graph theory is presented. The proposed methodology describes a road as a set of optimized points on the centerline which should be connected by defining a number of appropriate criteria.
Fateme Ameri +2 more
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An Effective Road Centerline Extraction Method From VHR
IEEE Geoscience and Remote Sensing Letters, 2022Renbao Lian +3 more
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A research of road centerline extraction algorithm from high resolution remote sensing images
Applications of Digital Image Processing XL, 2017Satellite remote sensing technology has become one of the most effective methods for land surface monitoring in recent years, due to its advantages such as short period, large scale and rich information. Meanwhile, road extraction is an important field in the applications of high resolution remote sensing images.
Yushan Zhang, Tingfa Xu
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Road network extraction by a higher-order CRF model built on centerline cliques
2015 23rd European Signal Processing Conference (EUSIPCO), 2015The goal of this work is to recover road networks from aerial images. This problem is extremely challenging because roads not only exhibit a highly varying appearance but also are usually occluded by nearby objects. Most importantly, roads are complex structures as they form connected networks of segments with slowly changing width and curvature. As an
O. Besbes, A. Benazza-Benyahia
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Safety Effectiveness of Centerline Plus Shoulder Rumble Strips on Two-Lane Rural Roads
Journal of Transportation Engineering, 2016The combined application of centerline and shoulder rumble strips is intended to reduce the frequency of crashes by alerting drivers that they are about to leave the traveled lane. To date, this combination treatment has not been rigorously evaluated with a multistate database.
Bhagwant Persaud +3 more
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Journal of Commercial Biotechnology, 2022
In order to improve the recognition efficiency of traffic road centerline recognition method, a traffic road centerline recognition method based on speech recognition technology and image feature extraction is designed. Firstly, the remote sensing image is preprocessed, and then the road knowledge base of traffic road image is established, which mainly
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In order to improve the recognition efficiency of traffic road centerline recognition method, a traffic road centerline recognition method based on speech recognition technology and image feature extraction is designed. Firstly, the remote sensing image is preprocessed, and then the road knowledge base of traffic road image is established, which mainly
openaire +1 more source