Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops
This paper reviews the use of modern 3D image-based and Light Detection and Ranging (LiDAR) methods of surface reconstruction techniques for high fidelity surveys of small rock outcrops to highlight their potential within structural geology and landscape protection. LiDAR and Structure from Motion (...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/6/1663 |
| _version_ | 1817992299099979776 |
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| author | Tomáš Mikita Marie Balková Aleš Bajer Miloš Cibulka Zdeněk Patočka |
| author_facet | Tomáš Mikita Marie Balková Aleš Bajer Miloš Cibulka Zdeněk Patočka |
| author_sort | Tomáš Mikita |
| collection | DOAJ |
| description | This paper reviews the use of modern 3D image-based and Light Detection and Ranging (LiDAR) methods of surface reconstruction techniques for high fidelity surveys of small rock outcrops to highlight their potential within structural geology and landscape protection. LiDAR and Structure from Motion (SfM) software provide useful opportunities for rock outcrops mapping and 3D model creation. The accuracy of these surface reconstructions is crucial for quantitative structural analysis. However, these technologies require either a costly data acquisition device (Terrestrial LiDAR) or specialized image processing software (SfM). Recent developments in augmented reality and smartphone technologies, such as increased processing capacity and higher resolution of cameras, may offer a simple and inexpensive alternative for 3D surface reconstruction. Therefore, the aim of the paper is to show the possibilities of using smartphone applications for model creation and to determine their accuracy for rock outcrop mapping. |
| first_indexed | 2024-04-14T01:24:31Z |
| format | Article |
| id | doaj.art-81f325ccb41641299c8639320b0ca8cc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:24:31Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-81f325ccb41641299c8639320b0ca8cc2022-12-22T02:20:29ZengMDPI AGSensors1424-82202020-03-01206166310.3390/s20061663s20061663Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock OutcropsTomáš Mikita0Marie Balková1Aleš Bajer2Miloš Cibulka3Zdeněk Patočka4Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, 613 00 Brno, Czech RepublicDepartment of Geology and Pedology, Faculty of Forestry and Wood Technology, Mendel University in Brno, 613 00 Brno, Czech RepublicDepartment of Geology and Pedology, Faculty of Forestry and Wood Technology, Mendel University in Brno, 613 00 Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, 613 00 Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, 613 00 Brno, Czech RepublicThis paper reviews the use of modern 3D image-based and Light Detection and Ranging (LiDAR) methods of surface reconstruction techniques for high fidelity surveys of small rock outcrops to highlight their potential within structural geology and landscape protection. LiDAR and Structure from Motion (SfM) software provide useful opportunities for rock outcrops mapping and 3D model creation. The accuracy of these surface reconstructions is crucial for quantitative structural analysis. However, these technologies require either a costly data acquisition device (Terrestrial LiDAR) or specialized image processing software (SfM). Recent developments in augmented reality and smartphone technologies, such as increased processing capacity and higher resolution of cameras, may offer a simple and inexpensive alternative for 3D surface reconstruction. Therefore, the aim of the paper is to show the possibilities of using smartphone applications for model creation and to determine their accuracy for rock outcrop mapping.https://www.mdpi.com/1424-8220/20/6/1663terrestrial laser scanningarcorestructure from motionrock outcrops |
| spellingShingle | Tomáš Mikita Marie Balková Aleš Bajer Miloš Cibulka Zdeněk Patočka Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops Sensors terrestrial laser scanning arcore structure from motion rock outcrops |
| title | Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops |
| title_full | Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops |
| title_fullStr | Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops |
| title_full_unstemmed | Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops |
| title_short | Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops |
| title_sort | comparison of different remote sensing methods for 3d modeling of small rock outcrops |
| topic | terrestrial laser scanning arcore structure from motion rock outcrops |
| url | https://www.mdpi.com/1424-8220/20/6/1663 |
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