Results 171 to 180 of about 7,057 (212)
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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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International Journal of Image and Graphics, 2022
Nowadays, precise and up-to-date maps of road are of great significance in an extensive series of applications. However, it automatically extracts the road surfaces from high-resolution remote sensed images which will remain as a demanding issue owing to the occlusion of buildings, trees, and intricate backgrounds.
Miral Jerambhai Patel, Ashish M. Kothari
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Nowadays, precise and up-to-date maps of road are of great significance in an extensive series of applications. However, it automatically extracts the road surfaces from high-resolution remote sensed images which will remain as a demanding issue owing to the occlusion of buildings, trees, and intricate backgrounds.
Miral Jerambhai Patel, Ashish M. Kothari
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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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An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery
IEEE Transactions on Geoscience and Remote Sensing, 2014Road information has a fundamental role in modern society. Road extraction from optical satellite images is an economic and efficient way to obtain and update a transportation database. This paper presents an integrated method to extract urban main-road centerlines from satellite optical images. The proposed method has four main steps.
Wenzhong Shi, Zelang Miao, Johan Debayle
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Cascaded Multi-Task Road Extraction Network for Road Surface, Centerline, and Edge Extraction
IEEE Transactions on Geoscience and Remote Sensing, 2022Xiaoyan Lu +6 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 new hierarchical method for automatic road centerline extraction in urban areas using LIDAR data
Advances in Space Research, 2019Abstract Road detection and road extraction are important and challenging issues in the fields of photogrammetry and remote sensing. Researchers have conducted wide research in this regard based on multispectral images and achieved relatively useful results.
Sayyed Abdullah Kianejad Tejenaki +2 more
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2011 International Conference on Electric Information and Control Engineering, 2011
Because of the disturb of trees along roads, buildings to cover, cars getting on the road an etc, it is difficult to automatically extract centerline of roads from high-resolution SAR images. This paper presents a new semi-automatic road centerline extraction method based on circular template matching.
null Jianghua Cheng +3 more
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Because of the disturb of trees along roads, buildings to cover, cars getting on the road an etc, it is difficult to automatically extract centerline of roads from high-resolution SAR images. This paper presents a new semi-automatic road centerline extraction method based on circular template matching.
null Jianghua Cheng +3 more
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A Gram-Schmidt Transformation-based Hierarchical Urban Road Centerline Extraction Method
2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall), 2021Lipeng Gao +4 more
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The political and social contexts of global road safety: challenges for the next decade
Lancet, The, 2022Adnan A Hyder, Connie H Hoe
exaly