Results 51 to 60 of about 266,707 (215)
Advances in Remote Sensing Extraction of Urban Roads [PDF]
E3S Web of Conferences, 2021 As early as 1970s, the United States has begun the research of remote sensing image processing technology. In recent ten years, the research of road remote sensing extraction in China has also advanced by leaps and bounds. High resolution remote sensing images have been widely used in many fields, such as urban development planning, environmental ...
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Sensors, 2023 Road network extraction is a significant challenge in remote sensing (RS). Automated techniques for interpreting RS imagery offer a cost-effective solution for obtaining road network data quickly, surpassing traditional visual interpretation methods ...
Mohd Jawed Khan +4 more
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IET Image Processing, 2021 The road extraction from high resolution remote sensing image is of great importance in a variety of applications. Recently, the abundant deep convolutional neural networks are proposed for road extraction task.
Yibo Han, Pu Han, Manlei Jia
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A Family of Quadratic Snakes for Road Extraction [PDF]
, 2007 The geographic information system industry would benefit from flexible automated systems capable of extracting linear structures from satellite imagery. Quadratic snakes allow global interactions between points along a contour, and are well suited to segmentation of linear structures such as roads. However, a single quadratic snake is unable to extract
Ramesh Marikhu +3 more
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Leveraging optical and SAR data with a UU-Net for large-scale road extraction
International Journal of Applied Earth Observations and Geoinformation, 2021 Road datasets are fundamental and imperative for traffic management and urban planning. Different high-resolution optical remote sensing images are widely used for automatic road extraction but the results are usually limited to local scale and spectral ...
Yinyi Lin +6 more
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Extracting Spatial Interaction Patterns between Urban Road Networks and Mixed Functions [PDF]
arXiv, 2022 In the field of urban planning, road network system planning is often the first step and the main purpose of urban planning is to create a spatial configuration of different functions such as residence, education, business, etc. Generally speaking, the more mixed the functions of an area has, the more possible its vitality may be.
arxiv
Road network extraction with OSMNx and SUMOPy
EPiC Series in Engineering, 2018 The microsimulation of larger cities would be of a considerable gain for urban planning. However, compared with traditional traffic flow assignment models, transport networks suitable for microsimulations require a large amount of data (connectivity, properties, road/rail signaling, etc.).
Ali Enes Dingil +3 more
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Feature Fusion Based Road Extraction for HJ-1-C SAR Image
Leida xuebao, 2014 Road network extraction in SAR images is one of the key tasks of military and civilian technologies. To solve the issues of road extraction of HJ-1-C SAR images, a road extraction algorithm is proposed based on the integration of ratio and directional ...
Lu Ping-ping +4 more
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Road Damage Detection Based on Unsupervised Disparity Map Segmentation [PDF]
, 2019 This paper presents a novel road damage detection algorithm based on unsupervised disparity map segmentation. Firstly, a disparity map is transformed by minimizing an energy function with respect to stereo rig roll angle and road disparity projection model. Instead of solving this energy minimization problem using non-linear optimization techniques, we
arxiv +1 more source
Road Extraction using Deep Learning
International Journal of Engineering & Technology, 2018 The Road extraction from aerial image, stands as a quintessential node for the development of rudimentary layers in innumerable fields. From GIS, to Unmanned Aerial vehicles, road maps pave the foundation for data accumulation. This significant process is a result of number of mechanisms devised over the years through iterative experiments and research.
J. D. Dorathi Jayaseeli +2 more
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