Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 153-158 |
Seitenumfang | 6 |
Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
Jahrgang | 35 |
Publikationsstatus | Veröffentlicht - 2004 |
Veranstaltung | 20th ISPRS Congress on Technical Commission I 2004 - Istanbul, Türkei Dauer: 12 Juli 2004 → 23 Juli 2004 |
Abstract
Direct sensor orientation, i.e. the determination of exterior orientation based on GPS and inertial measurements without the need for photogrammetric tie points, has gained considerable popularity over the last years. One pre-condition for direct sensor orientation is a correct sensor and system calibration. The calibration can only be carried out by a combination of a photogrammetric solution and a GPS/inertial solution, which is equivalent to the concept of integrated sensor orientation. In the work carried out so far, GPS has been identified as the most critical part in terms of achievable accuracy. Strategies for improving differential GPS results are available for terrestrial applications, but have not yet been used in direct and integrated sensor orientation. One of these solutions consists in using a network of reference stations rather than a single station only. In this paper we present our work on direct sensor orientation using a GPS network. After describing the related mathematical models we report the results of an experimental test. The test data were drawn from the OEEPE test “Integrated sensor orientation”. The results show, that while for many applications a network may not be necessary in case of short baselines and good GPS data, it still improves the accuracy of direct sensor orientation to some degree. More important is the fact, that our approach is able to detect gross errors in the reference station data and therefore has the potential to improve also the reliability of the results.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 35, 2004, S. 153-158.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Direct sensor orientation based on GPS network solutions
AU - Wegmann, Helge
AU - Heipke, Christian
AU - Jacobsen, Karsten
PY - 2004
Y1 - 2004
N2 - Direct sensor orientation, i.e. the determination of exterior orientation based on GPS and inertial measurements without the need for photogrammetric tie points, has gained considerable popularity over the last years. One pre-condition for direct sensor orientation is a correct sensor and system calibration. The calibration can only be carried out by a combination of a photogrammetric solution and a GPS/inertial solution, which is equivalent to the concept of integrated sensor orientation. In the work carried out so far, GPS has been identified as the most critical part in terms of achievable accuracy. Strategies for improving differential GPS results are available for terrestrial applications, but have not yet been used in direct and integrated sensor orientation. One of these solutions consists in using a network of reference stations rather than a single station only. In this paper we present our work on direct sensor orientation using a GPS network. After describing the related mathematical models we report the results of an experimental test. The test data were drawn from the OEEPE test “Integrated sensor orientation”. The results show, that while for many applications a network may not be necessary in case of short baselines and good GPS data, it still improves the accuracy of direct sensor orientation to some degree. More important is the fact, that our approach is able to detect gross errors in the reference station data and therefore has the potential to improve also the reliability of the results.
AB - Direct sensor orientation, i.e. the determination of exterior orientation based on GPS and inertial measurements without the need for photogrammetric tie points, has gained considerable popularity over the last years. One pre-condition for direct sensor orientation is a correct sensor and system calibration. The calibration can only be carried out by a combination of a photogrammetric solution and a GPS/inertial solution, which is equivalent to the concept of integrated sensor orientation. In the work carried out so far, GPS has been identified as the most critical part in terms of achievable accuracy. Strategies for improving differential GPS results are available for terrestrial applications, but have not yet been used in direct and integrated sensor orientation. One of these solutions consists in using a network of reference stations rather than a single station only. In this paper we present our work on direct sensor orientation using a GPS network. After describing the related mathematical models we report the results of an experimental test. The test data were drawn from the OEEPE test “Integrated sensor orientation”. The results show, that while for many applications a network may not be necessary in case of short baselines and good GPS data, it still improves the accuracy of direct sensor orientation to some degree. More important is the fact, that our approach is able to detect gross errors in the reference station data and therefore has the potential to improve also the reliability of the results.
KW - Direct image orientation
KW - GPS
KW - IMU
UR - http://www.scopus.com/inward/record.url?scp=34548018914&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:34548018914
VL - 35
SP - 153
EP - 158
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - 20th ISPRS Congress on Technical Commission I 2004
Y2 - 12 July 2004 through 23 July 2004
ER -