Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments
Digital surface models (DSM) have become one of the main sources of geometrical information for a broad range of applications. Image-based systems typically rely on passive sensors which can represent a strong limitation in several survey activities (e.g., night-time monitoring, underground survey a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/7/1261 |
| _version_ | 1797539973905252352 |
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| author | Riccardo Roncella Nazarena Bruno Fabrizio Diotri Klaus Thoeni Anna Giacomini |
| author_facet | Riccardo Roncella Nazarena Bruno Fabrizio Diotri Klaus Thoeni Anna Giacomini |
| author_sort | Riccardo Roncella |
| collection | DOAJ |
| description | Digital surface models (DSM) have become one of the main sources of geometrical information for a broad range of applications. Image-based systems typically rely on passive sensors which can represent a strong limitation in several survey activities (e.g., night-time monitoring, underground survey and night surveillance). However, recent progresses in sensor technology allow very high sensitivity which drastically improves low-light image quality by applying innovative noise reduction techniques. This work focuses on the performances of night-time photogrammetric systems devoted to the monitoring of rock slopes. The study investigates the application of different camera settings and their reliability to produce accurate DSM. A total of 672 stereo-pairs acquired with high-sensitivity cameras (Nikon D800 and D810) at three different testing sites were considered. The dataset includes different camera configurations (ISO speed, shutter speed, aperture and image under-/over-exposure). The use of image quality assessment (IQA) methods to evaluate the quality of the images prior to the 3D reconstruction is investigated. The results show that modern high-sensitivity cameras allow the reconstruction of accurate DSM in an extreme low-light environment and, exploiting the correct camera setup, achieving comparable results to daylight acquisitions. This makes imaging sensors extremely versatile for monitoring applications at generally low costs. |
| first_indexed | 2024-03-10T12:53:27Z |
| format | Article |
| id | doaj.art-a1bf338ae5484889b09d0cad0f5105b7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T12:53:27Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a1bf338ae5484889b09d0cad0f5105b72023-11-21T12:08:38ZengMDPI AGRemote Sensing2072-42922021-03-01137126110.3390/rs13071261Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light EnvironmentsRiccardo Roncella0Nazarena Bruno1Fabrizio Diotri2Klaus Thoeni3Anna Giacomini4Department of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyCentre for Geotechnical Science and Engineering, University of Newcastle, Callaghan 2308, AustraliaCentre for Geotechnical Science and Engineering, University of Newcastle, Callaghan 2308, AustraliaDigital surface models (DSM) have become one of the main sources of geometrical information for a broad range of applications. Image-based systems typically rely on passive sensors which can represent a strong limitation in several survey activities (e.g., night-time monitoring, underground survey and night surveillance). However, recent progresses in sensor technology allow very high sensitivity which drastically improves low-light image quality by applying innovative noise reduction techniques. This work focuses on the performances of night-time photogrammetric systems devoted to the monitoring of rock slopes. The study investigates the application of different camera settings and their reliability to produce accurate DSM. A total of 672 stereo-pairs acquired with high-sensitivity cameras (Nikon D800 and D810) at three different testing sites were considered. The dataset includes different camera configurations (ISO speed, shutter speed, aperture and image under-/over-exposure). The use of image quality assessment (IQA) methods to evaluate the quality of the images prior to the 3D reconstruction is investigated. The results show that modern high-sensitivity cameras allow the reconstruction of accurate DSM in an extreme low-light environment and, exploiting the correct camera setup, achieving comparable results to daylight acquisitions. This makes imaging sensors extremely versatile for monitoring applications at generally low costs.https://www.mdpi.com/2072-4292/13/7/1261digital surface modellow-light photogrammetryslope monitoringimaging sensorstereo visionaccuracy |
| spellingShingle | Riccardo Roncella Nazarena Bruno Fabrizio Diotri Klaus Thoeni Anna Giacomini Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments Remote Sensing digital surface model low-light photogrammetry slope monitoring imaging sensor stereo vision accuracy |
| title | Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments |
| title_full | Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments |
| title_fullStr | Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments |
| title_full_unstemmed | Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments |
| title_short | Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments |
| title_sort | photogrammetric digital surface model reconstruction in extreme low light environments |
| topic | digital surface model low-light photogrammetry slope monitoring imaging sensor stereo vision accuracy |
| url | https://www.mdpi.com/2072-4292/13/7/1261 |
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