Road Extraction and Distress Assessment by Spaceborne, Airborne Terrestrial Platforms

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Bol This reprint focuses on the applied research on remote sensing technologies for road monitoring and extraction. Innovative and multidisciplinary approaches on road distress assessment using spaceborne, aerial, and terrestrial platforms, in different experimental surroundings, have garnered interest and need to be included more in regular road maintenance surveys.The development of high-performance technologies, such as Very High-Resolution Satellite Imagery and Unmanned Aircraft Systems, are promising to achieve extraordinary results, and the development of standardized methodologies is focal for integration with standard field surveys and reference legislation.Special attention is given to spaceborne, airborne, and terrestrial platforms, UAV and UGV, Pavement Management Systems (PMS), GIS modeling for management plan, AI, deep learning, data fusion, geomatics, Ground Penetrating Radar (GPR), LiDAR, and laser scanning, among others.

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This reprint focuses on the applied research on remote sensing technologies for road monitoring and extraction. Innovative and multidisciplinary approaches on road distress assessment using spaceborne, aerial, and terrestrial platforms, in different experimental surroundings, have garnered interest and need to be included more in regular road maintenance surveys.The development of high-performance technologies, such as Very High-Resolution Satellite Imagery and Unmanned Aircraft Systems, are promising to achieve extraordinary results, and the development of standardized methodologies is focal for integration with standard field surveys and reference legislation.Special attention is given to spaceborne, airborne, and terrestrial platforms, UAV and UGV, Pavement Management Systems (PMS), GIS modeling for management plan, AI, deep learning, data fusion, geomatics, Ground Penetrating Radar (GPR), LiDAR, and laser scanning, among others.

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Pages: 250, Hardcover, Mdpi AG


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Merk MDPI AG
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  • 9783725828319
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