Zobrazeno 1 - 10
of 96
pro vyhledávání: '"road centerline"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 66-78 (2023)
In high-resolution remote sensing images, road scale diversity and occlusions caused by shadows, buildings, and vegetation often pose challenges for road extraction. Currently, end-to-end models constructed using deep convolutional neural networks ar
Externí odkaz:
https://doaj.org/article/6cf31f6fd224466d85fba1ae0d5b1118
Publikováno v:
JES: Journal of Engineering Sciences, Vol 48, Iss No 1, Pp 20-31 (2020)
Roads extraction from VHR satellite images are very paramount for GIS and map updating. Due to the high resolution of satellite images, there are many obstacles broken roads such as shadow, and vehicles. The present work aims to find the most suitabl
Externí odkaz:
https://doaj.org/article/f9e1bf7ba22e4f058ddd4a5f04b4eb7b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 227-240 (2020)
Geometry and texture noise make it difficult to accurately describe road image rules, which leads to the low degree of automation of traditional template matching algorithms based on internal texture homogenization. We propose a semi-automatic road e
Externí odkaz:
https://doaj.org/article/3ce00f73846745e3ab90c3ff1545276e
Autor:
Qing Guo, Zhipan Wang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4451-4461 (2020)
Road extraction from the high-resolution remote sensing image is significant for the land planning, vehicle navigation, etc. The existing road extraction methods normally need many preprocessing and subsequent optimization steps. Therefore, an automa
Externí odkaz:
https://doaj.org/article/b86c140cf9a842bab06b9b3aabb807d5
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2074 (2022)
Road centerline extraction is the foundation for integrating the segmented road map from a remote sensing image into a geographic information system (GIS) database. Considering that existing approaches tend to have a decline in performance for center
Externí odkaz:
https://doaj.org/article/27f3dc36001646dc8d4c945d4a1a3752
Akademický článek
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Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 789 (2022)
In this paper, a novel framework for the automatic extraction of road footprints from airborne LiDAR point clouds in urban areas is proposed. The extraction process consisted of three phases: The first phase is to extract road points by using the dee
Externí odkaz:
https://doaj.org/article/ab5416e4ae2a43048a86a793759aa362
Akademický článek
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Akademický článek
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Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 239 (2021)
Automatic extraction of the road surface and road centerline from very high-resolution (VHR) remote sensing images has always been a challenging task in the field of feature extraction. Most existing road datasets are based on data with simple and cl
Externí odkaz:
https://doaj.org/article/469b0a77acb64194bb28271f8b0e5616