Applications of Digital Photogrammetry and 3D Laser Scanning in Geomatics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 20 August 2024 | Viewed by 810

Special Issue Editors


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Guest Editor
Departamento de Ingeniería Cartográfica y del Terreno, Universidad de Salamanca, 37008 Salamanca, Spain
Interests: cartographic; geodetic and photogrammetric engineering
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Surveying and Cartography Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: drone inspection; multispectral imaging; laser scanning; photogrammetry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Digital photogrammetry and 3D laser scanning play pivotal roles in advancing the field of geomatics, offering innovative solutions for mapping, surveying, and modeling the Earth's surface and its underlying elements. This Special Issue explores their applications, shedding light on the transformative impact these technologies have on various domains within geomatics.

In this context, some potential use cases have driven significant advances in areas such as Land Use Planning, Natural Resource Management, Infrastructure Development, Transportation Engineering, Environmental Monitoring, Disaster Management, Archaeological Studies, Mining and Exploration, Precision Agriculture, Geomorphological Studies, Utility Infrastructure Management, Climate Change Research, Cultural Heritage Preservation, Precision Forestry, and Remote Sensing Applications, among others.

This Special Issue aims to explore and highlight these diverse applications, showcasing the transformative potential of digital photogrammetry and 3D laser scanning in advancing the field of geomatics.

The submission of original work highlighting the latest research and technical developments is encouraged. Additionally, review articles and comparative studies are welcomed that contribute to enriching the scientific community's understanding of the impact and possibilities of digital photogrammetry and 3D laser scanning in geomatics.

Dr. Miguel Angel Maté-González
Prof. Dr. Serafín López-Cuervo Medina
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital photogrammetry
  • 3D laser scanning
  • geomatics
  • mapping
  • surveying
  • earth's surface
  • spatial modeling
  • land use planning
  • environmental monitoring
  • remote sensing applications

Published Papers (1 paper)

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Research

14 pages, 5481 KiB  
Article
The Automatic Algorithm of Optimizing the Position of Structured Light Sensors
by Zhiyuan Zhang, Xiaohong Sun, Xiaonan Yang and Qi Xue
Appl. Sci. 2024, 14(5), 1719; https://doi.org/10.3390/app14051719 - 20 Feb 2024
Viewed by 626
Abstract
Optical 3D detection technology has a wide range of applications in industrial detection, agricultural production, and so on. Its advantages are non-contact, efficiency, and high precision. However, the specular reflection problem affects model coverage and measurement accuracy. An optimization algorithm for calculating the [...] Read more.
Optical 3D detection technology has a wide range of applications in industrial detection, agricultural production, and so on. Its advantages are non-contact, efficiency, and high precision. However, the specular reflection problem affects model coverage and measurement accuracy. An optimization algorithm for calculating the number and pose of sensors has been proposed to address this issue. First, the specular reflection problem is viewed as a multi-sensor position search problem. Then, an optimization algorithm is used to find the optimal number and bit positions of sensors to avoid specular reflection. The experiment shows that the optimization results of this algorithm can cover the area to be measured with the least number of sensor combinations while avoiding the influence of specular reflection. Full article
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