Influence of Block Geometry Configuration on Multi-Image Dense Matching
Digital photogrammetry is a widespread surveying technique in different fields of application due to its flexibility, versatility and cost-effectiveness. Despite its increasing automation and simplicity, a proper image block design is crucial to ensure high standards of performance and accuracy. Stu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/15/3784 |
| _version_ | 1797440785414619136 |
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| author | Nazarena Bruno Riccardo Roncella Fabrizio Diotri Klaus Thoeni Anna Giacomini |
| author_facet | Nazarena Bruno Riccardo Roncella Fabrizio Diotri Klaus Thoeni Anna Giacomini |
| author_sort | Nazarena Bruno |
| collection | DOAJ |
| description | Digital photogrammetry is a widespread surveying technique in different fields of application due to its flexibility, versatility and cost-effectiveness. Despite its increasing automation and simplicity, a proper image block design is crucial to ensure high standards of performance and accuracy. Studies on camera network design have been largely dealt with in the scientific literature with reference to image orientation process, while they are still poor on dense matching. This paper investigates the influence of different block geometry configurations on multi-image dense matching. Starting from the same orientation solution, dense matching was performed considering different combinations of number of images and base length distance between the first and the last image within a strip. The raster Digital Elevation Models (DEM) resulting from each sequence of images were compared with a reference DEM to assess accuracy and completeness. The tests were conducted using different cameras and at various test sites to assess different survey conditions and generalize the findings. The presented results provide some operational guidance on block geometry optimization to maximize the accuracy and completeness. |
| first_indexed | 2024-03-09T12:13:25Z |
| format | Article |
| id | doaj.art-f88559dbade44b10ab50c3e48104604e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T12:13:25Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f88559dbade44b10ab50c3e48104604e2023-11-30T22:49:47ZengMDPI AGRemote Sensing2072-42922022-08-011415378410.3390/rs14153784Influence of Block Geometry Configuration on Multi-Image Dense MatchingNazarena Bruno0Riccardo Roncella1Fabrizio Diotri2Klaus Thoeni3Anna Giacomini4Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/a, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/a, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze, 181/a, 43124 Parma, ItalyCentre for Geotechnical and Materials Modelling, The University of Newcastle, Callaghan, NSW 2308, AustraliaCentre for Geotechnical and Materials Modelling, The University of Newcastle, Callaghan, NSW 2308, AustraliaDigital photogrammetry is a widespread surveying technique in different fields of application due to its flexibility, versatility and cost-effectiveness. Despite its increasing automation and simplicity, a proper image block design is crucial to ensure high standards of performance and accuracy. Studies on camera network design have been largely dealt with in the scientific literature with reference to image orientation process, while they are still poor on dense matching. This paper investigates the influence of different block geometry configurations on multi-image dense matching. Starting from the same orientation solution, dense matching was performed considering different combinations of number of images and base length distance between the first and the last image within a strip. The raster Digital Elevation Models (DEM) resulting from each sequence of images were compared with a reference DEM to assess accuracy and completeness. The tests were conducted using different cameras and at various test sites to assess different survey conditions and generalize the findings. The presented results provide some operational guidance on block geometry optimization to maximize the accuracy and completeness.https://www.mdpi.com/2072-4292/14/15/3784dense matchingMVSblock design optimizationmulti-imagecamera networkphotogrammetry |
| spellingShingle | Nazarena Bruno Riccardo Roncella Fabrizio Diotri Klaus Thoeni Anna Giacomini Influence of Block Geometry Configuration on Multi-Image Dense Matching Remote Sensing dense matching MVS block design optimization multi-image camera network photogrammetry |
| title | Influence of Block Geometry Configuration on Multi-Image Dense Matching |
| title_full | Influence of Block Geometry Configuration on Multi-Image Dense Matching |
| title_fullStr | Influence of Block Geometry Configuration on Multi-Image Dense Matching |
| title_full_unstemmed | Influence of Block Geometry Configuration on Multi-Image Dense Matching |
| title_short | Influence of Block Geometry Configuration on Multi-Image Dense Matching |
| title_sort | influence of block geometry configuration on multi image dense matching |
| topic | dense matching MVS block design optimization multi-image camera network photogrammetry |
| url | https://www.mdpi.com/2072-4292/14/15/3784 |
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