QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES
The paper presents an innovative approach for improving the orientation results when terrestrial and UAV images are jointly processed. With the existing approaches, the processing of images coming from different platforms and sensors leads often to noisy and inaccurate 3D reconstructions, due to the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-01-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W9/339/2019/isprs-archives-XLII-2-W9-339-2019.pdf |
| _version_ | 1818508827789623296 |
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| author | E. M. Farella A. Torresani F. Remondino |
| author_facet | E. M. Farella A. Torresani F. Remondino |
| author_sort | E. M. Farella |
| collection | DOAJ |
| description | The paper presents an innovative approach for improving the orientation results when terrestrial and UAV images are jointly processed. With the existing approaches, the processing of images coming from different platforms and sensors leads often to noisy and inaccurate 3D reconstructions, due to the different nature and properties of the acquired images. In this work, a photogrammetric pipeline is proposed to filter and remove bad computed tie points, according to some quality feature indicators. A completely automatic procedure has been developed to filter the sparse point cloud, in order to improve the orientation results before computing the dense point cloud. We report some tests and results on a dataset of about 140 images (Modena cathedral, Italy). The effectiveness of the filtering procedure was verified using some internal quality indicators, external checks (ground truth data) and qualitative visual analyses. |
| first_indexed | 2024-12-10T22:37:14Z |
| format | Article |
| id | doaj.art-d5243cc4c29242eab62a8af919cf87ec |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-10T22:37:14Z |
| publishDate | 2019-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-d5243cc4c29242eab62a8af919cf87ec2022-12-22T01:30:51ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-01-01XLII-2-W933934610.5194/isprs-archives-XLII-2-W9-339-2019QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGESE. M. Farella0A. Torresani1F. Remondino23D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyThe paper presents an innovative approach for improving the orientation results when terrestrial and UAV images are jointly processed. With the existing approaches, the processing of images coming from different platforms and sensors leads often to noisy and inaccurate 3D reconstructions, due to the different nature and properties of the acquired images. In this work, a photogrammetric pipeline is proposed to filter and remove bad computed tie points, according to some quality feature indicators. A completely automatic procedure has been developed to filter the sparse point cloud, in order to improve the orientation results before computing the dense point cloud. We report some tests and results on a dataset of about 140 images (Modena cathedral, Italy). The effectiveness of the filtering procedure was verified using some internal quality indicators, external checks (ground truth data) and qualitative visual analyses.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W9/339/2019/isprs-archives-XLII-2-W9-339-2019.pdf |
| spellingShingle | E. M. Farella A. Torresani F. Remondino QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES |
| title_full | QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES |
| title_fullStr | QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES |
| title_full_unstemmed | QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES |
| title_short | QUALITY FEATURES FOR THE INTEGRATION OF TERRESTRIAL AND UAV IMAGES |
| title_sort | quality features for the integration of terrestrial and uav images |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W9/339/2019/isprs-archives-XLII-2-W9-339-2019.pdf |
| work_keys_str_mv | AT emfarella qualityfeaturesfortheintegrationofterrestrialanduavimages AT atorresani qualityfeaturesfortheintegrationofterrestrialanduavimages AT fremondino qualityfeaturesfortheintegrationofterrestrialanduavimages |