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Computer-Aided Civil and Infrastructure Engineering, 2008
Abstract: Transportation is one of a few engineering domains that work with linear objects—roads. Accurate road length information is critical to numerous transportation applications. Road lengths can be obtained via technologies such as ground surveying, global positioning systems (GPS), and Distance Measurement Instruments (DMI).
Hubo Cai, William Rasdorf
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Abstract: Transportation is one of a few engineering domains that work with linear objects—roads. Accurate road length information is critical to numerous transportation applications. Road lengths can be obtained via technologies such as ground surveying, global positioning systems (GPS), and Distance Measurement Instruments (DMI).
Hubo Cai, William Rasdorf
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Multiscale road centerlines extraction from high-resolution aerial imagery
Neurocomputing, 2019Abstract Accurate road extraction from high-resolution aerial imagery has many applications such as urban planning and vehicle navigation system. The common road extraction methods are based on classification algorithm, which needs to design robust handcrafted features for road. However, designing such features is difficult.
Ruyi Liu +6 more
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A Wavelet Transform Based Method for Road Centerline Extraction
Photogrammetric Engineering & Remote Sensing, 2004This paper introduces a new wavelet transform based method of road centerline extraction from high resolution remote sensing images. In the one dimensional case, we characterize different kinds of sudden changes of signals by comparing the magnitudes of the local extreme values of the wavelet transforms under different dilation scales of the same ...
Tieling Chen +2 more
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Area Collapse and Road Centerlines based on Straight Skeletons
GeoInformatica, 2007Skeletonization of polygons is a technique, which is often applied to problems of cartography and geographic information science. Especially it is needed for generalization tasks such as the collapse of small or narrow areas, which are negligible for a certain scale. Different skeleton operators can be used for such tasks.
Jan-Henrik Haunert, Monika Sester
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Road Centerline Data Accumulation for Rescue Workers Whose Expertise Is Not GIS
Disaster Medicine and Public Health Preparedness, 2020ABSTRACTObjectives:The objective of this study is to provide road centerline data for professionals of disaster medicine areas who are often beginners in GIS use.Methods:Newly developed vector tile format data were converted into shapefile format data, then were organized as second level medical districts to which medical professionals are accustomed ...
Kanetoshi, Hattori +6 more
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Road Centerlines Extraction from High Resolution Remote Sensing Image
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019The acquisition of road network information based on high-resolution remote sensing images has important practical application value. This paper focus on the phenomenon of complex background influence and easily produce spurs around the true road centerlines, the method of using convolutional neural network for road region extraction and segmental ...
Shikai Sun +3 more
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A new approach for road centerlines extraction and width estimation
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010Road centerlines detection and the estimation of road widths play an important role in many computer vision applications e.g. road network extraction from satellite images. Canny edge detector has many advantages over other first-order edge detection algorithm.
Junzhi Guan, Zongyi Wang, Xiaochen Yao
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Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression
IEEE Geoscience and Remote Sensing Letters, 2016Accurate road centerline extraction from remotely sensed images plays a significant role in road map generation and updating. In the road extraction problem, the acquisition of labeled data is time consuming and costly; thus, there are only a small amount of labeled samples in reality.
Guangliang Cheng +3 more
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A Modified Road Centerlines Search Method from Remote Sensing Images
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), 2017Aiming at the sensitivity of the road centerline extraction algorithm using directional texture to the disturbance in the images, a modified method for road centerlines on high-resolution remote sensing images is proposed based on the directional texture and Kalman Filter.
Du Juan, Li Runsheng, Jin Fei
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