CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY
Registration activities combine data from different sources in order to attain higher accuracy and derive more information than available from one source. The increasing availability of a wide variety of sensors capable of capturing high quality and complementary data requires parallel efforts for d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidade Federal de Uberlândia
2009-11-01
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| Series: | Revista Brasileira de Cartografia |
| Subjects: | |
| Online Access: | http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/43497 |
| _version_ | 1818038977662287872 |
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| author | Ayman Habib Mwafag Ghanma Edson Mitishita |
| author_facet | Ayman Habib Mwafag Ghanma Edson Mitishita |
| author_sort | Ayman Habib |
| collection | DOAJ |
| description | Registration activities combine data from different sources in order to attain higher accuracy and derive more information than available from one source. The increasing availability of a wide variety of sensors capable of capturing high quality and complementary data requires parallel efforts for developing accurate and robust registration techniques. Currently, photogrammetric and LIDAR systems are being incorporated in a wide spectrum of mapping applications such as city modeling, surface reconstruction, and object recognition. Photogrammetric processing of overlapping imagery provides accurate information regarding object space break-lines in addition to an explicit semantic description of the photographed objects. On the other hand, LIDAR systems supply dense geometric surface information in the form of non-selective points. Considering the properties of photogrammetric and LIDAR data, it is clear that the two technologies provide complementary information. However, the synergic characteristics of both systems can be fully utilized only after successful registration of the photogrammetric and LIDAR data relative to a common reference frame. The registration methodology has to deal with three issues: registration primitives, transformation function, and similarity measure. This paper presents two methodologies for utilizing straight-line features derived from both datasets as the registration primitives. The first methodology directly incorporates the LIDAR lines as control information in the photogrammetric triangulation. The second methodology starts by generating a photogrammetric model relative to an arbitrary datum. Then, LIDAR features are used as control information for the absolute orientation of the photogrammetric model. In addition to the registration methodologies, the paper presents a comparative analysis between two approaches for extracting linear features from raw and processed/interpolated LIDAR data. Also, a comparative analysis between metric analog and amateur digital cameras within the registration process will be presented. The performance analysis is based on the quality of fit of the final alignment between the LIDAR and photogrammetric models. |
| first_indexed | 2024-12-10T07:51:19Z |
| format | Article |
| id | doaj.art-c9bfba7cd0d749e49cb58587bf805e63 |
| institution | Directory Open Access Journal |
| issn | 0560-4613 1808-0936 |
| language | English |
| last_indexed | 2024-12-10T07:51:19Z |
| publishDate | 2009-11-01 |
| publisher | Universidade Federal de Uberlândia |
| record_format | Article |
| series | Revista Brasileira de Cartografia |
| spelling | doaj.art-c9bfba7cd0d749e49cb58587bf805e632022-12-22T01:57:02ZengUniversidade Federal de UberlândiaRevista Brasileira de Cartografia0560-46131808-09362009-11-01561CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDYAyman Habib0Mwafag Ghanma1Edson Mitishita2University of CalgaryUniversity of CalgaryUniversidade Federal do Paraná - UFPRRegistration activities combine data from different sources in order to attain higher accuracy and derive more information than available from one source. The increasing availability of a wide variety of sensors capable of capturing high quality and complementary data requires parallel efforts for developing accurate and robust registration techniques. Currently, photogrammetric and LIDAR systems are being incorporated in a wide spectrum of mapping applications such as city modeling, surface reconstruction, and object recognition. Photogrammetric processing of overlapping imagery provides accurate information regarding object space break-lines in addition to an explicit semantic description of the photographed objects. On the other hand, LIDAR systems supply dense geometric surface information in the form of non-selective points. Considering the properties of photogrammetric and LIDAR data, it is clear that the two technologies provide complementary information. However, the synergic characteristics of both systems can be fully utilized only after successful registration of the photogrammetric and LIDAR data relative to a common reference frame. The registration methodology has to deal with three issues: registration primitives, transformation function, and similarity measure. This paper presents two methodologies for utilizing straight-line features derived from both datasets as the registration primitives. The first methodology directly incorporates the LIDAR lines as control information in the photogrammetric triangulation. The second methodology starts by generating a photogrammetric model relative to an arbitrary datum. Then, LIDAR features are used as control information for the absolute orientation of the photogrammetric model. In addition to the registration methodologies, the paper presents a comparative analysis between two approaches for extracting linear features from raw and processed/interpolated LIDAR data. Also, a comparative analysis between metric analog and amateur digital cameras within the registration process will be presented. The performance analysis is based on the quality of fit of the final alignment between the LIDAR and photogrammetric models.http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/43497RegistrationLIDARphotogrammetrytriangulationlinear featuresabsolute orientation |
| spellingShingle | Ayman Habib Mwafag Ghanma Edson Mitishita CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY Revista Brasileira de Cartografia Registration LIDAR photogrammetry triangulation linear features absolute orientation |
| title | CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY |
| title_full | CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY |
| title_fullStr | CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY |
| title_full_unstemmed | CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY |
| title_short | CO-REGISTRATION OF PHOTOGRAMMETRIC AND LIDAR DATA: METHODOLOGY AND CASE STUDY |
| title_sort | co registration of photogrammetric and lidar data methodology and case study |
| topic | Registration LIDAR photogrammetry triangulation linear features absolute orientation |
| url | http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/43497 |
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