Results 151 to 160 of about 7,057 (212)
A Wavelet Transform Based Method for Road Centerline Extraction
Photogrammetric Engineering & Remote Sensing, 2004 This 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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Road Centerlines Extraction from High Resolution Remote Sensing Image
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019 The 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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Multiscale road centerlines extraction from high-resolution aerial imagery
Neurocomputing, 2019 Abstract 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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Spectral–Spatial Classification and Shape Features for Urban Road Centerline Extraction
IEEE Geoscience and Remote Sensing Letters, 2014 This 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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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
Shuang Shi
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A new approach for road centerlines extraction and width estimation
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010 Road 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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End-to-End Road Centerline Extraction via Learning a Confidence Map
2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), 2018 Road 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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Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net
IEEE Transactions on Geoscience and Remote Sensing, 2019 Road information extraction based on aerial images is a critical task for many applications, and it has attracted considerable attention from researchers in the field of remote sensing. The problem is mainly composed of two subtasks, namely, road detection and centerline extraction. Most of the previous studies rely on multistage-based learning methods
Xiaofei Yang +5 more
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A research of road centerline extraction algorithm from high resolution remote sensing images
Applications of Digital Image Processing XL, 2017 Satellite 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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IEEE Transactions on Geoscience and Remote Sensing, 2017 Accurate road detection and centerline extraction from very high resolution (VHR) remote sensing imagery are of central importance in a wide range of applications. Due to the complex backgrounds and occlusions of trees and cars, most road detection methods bring in the heterogeneous segments; besides for the centerline extraction task, most current ...
Guangliang Cheng +5 more
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