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A Semi-Automatic Method for Road Centerline Extraction From VHR Images
IEEE Geoscience and Remote Sensing Letters, 2014This letter presents a semi-automatic approach to delineating road networks from very high resolution satellite images. The proposed method consists of three main steps. First, the geodesic method is used to extract the initial road segments that link the road seed points prescribed in advance by users. Next, a road probability map is produced based on
Zelang Miao +3 more
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Spectral–Spatial Classification and Shape Features for Urban Road Centerline Extraction
IEEE Geoscience and Remote Sensing Letters, 2014This letter presents a two-step method for urban main road extraction from high-resolution remotely sensed imagery by integrating spectral-spatial classification and shape features. In the first step, spectral-spatial classification segments the imagery into two classes, i.e., the road class and the nonroad class, using path openings and closings.
null Wenzhong Shi +3 more
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End-to-End Road Centerline Extraction via Learning a Confidence Map
2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), 2018Road extraction from aerial and satellite image is one of complex and challenging tasks in remote sensing field. The task is required for a wide range of application, such as autonomous driving, urban planning and automatic mapping for GIS data collection.
Wei Yujun, Hu Xiangyun, Gong Jinqi
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A Semi-Supervised High-Level Feature Selection Framework for Road Centerline Extraction
IEEE Geoscience and Remote Sensing Letters, 2020Accurate road centerline extraction is very important for many vital applications. In the road extraction, the acquisition of labeled data is time-consuming; thus, there is only a small amount of labeled samples in reality. To solve the problem of limited labeled samples, a semi-supervised road centerline extraction is proposed, which incorporates high-
Ruyi Liu +4 more
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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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