Mr. Songlin Yu Profile

Songlin Yu

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Proceedings Article | 30 April 2024 Paper

Road trafficability analysis based on the fusion of high-resolution satellite images and point cloud elevation information

Xiao Zhou, Songlin Yu, Yan Li, Fangyuan Li

Proceedings Volume 13157, 1315708 (2024) https://doi.org/10.1117/12.3013709

KEYWORDS: Roads, Image fusion, Satellites, Satellite imaging, 3D modeling, Image segmentation, Earth observing sensors, Remote sensing, Data modeling, Satellite communications

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With the maturity of satellite R&D technology and the reduction of costs, a large number of high-resolution optical commercial satellites have been launched, and more and more optical satellite constellations will be gradually built and applied, which will gradually improve the ability of satellite to observe the earth, and shorten the revisiting cycle of the same area. Using the rapid revisiting and high-resolution imaging capabilities of satellite constellations, sub-meter optical images and digital elevation information of target areas can be quickly extracted. This paper proposes a method for evaluating the road trafficability of target areas using high-resolution satellite images and digital elevation models. Firstly, the optical texture of satellite images can be used to analyze and obtain the attribute information such as the basic types of road pavement. At the same time, using the high-resolution features of satellite images, the road outline can be identified through image segmentation technology, and then the geometric characteristics such as road width and connectivity can be obtained. After that, the digital elevation model of the target area is accurately matched with the satellite image to extract the road elevation information, and obtain the geometric characteristics such as road slope. Finally, the extracted road geometric attribute information is used to evaluate and analyze the trafficability between roads. The evaluation results can be used to predict the trafficability and time of vehicles, and also to scientifically plan the traffic route of vehicles.

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