Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: MULTI-TRIANGULATION TO GET GCP FOR OLD UNPREMARKED AERIAL PHOTOGRAPHS Fahmi Amhar

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 ()e2473170.dst F:\KaltengSurvel\Gps\DATA\TEAMO2(2003111 31RAW 90KB DAT File 3 B2473170.eph | F:\KaltenaSurvei\Gps\DATA\TEAMO2\20031 1 13\RAW 11KB EPH File ti B2473170on F:\KaltengSurveilGps\DATA\TEAMO2120031 1 131RAW 1KB ION File 1 82473170.mes F:\KaltengSurvei{Gps\DATAITEAMO2\200311 13)RAW 2KB MES File 3D Position Best PDOP Position [ 2.3] Mean Position [918] Latitude: 1:35'38.25980" $ 1:35'38.25572" S Longitude: 113:18'87.23415" E 113:18'07.23219" E Height [m]: 83.0 84.8 Fig. 6. GPS raw data file and absolute 1.6 Identification Validation Validations begin with the comparison between air photo (fig 7 and fig. 8) and snapshots (fig. 9) and between GPS empirical route to the planed route. When the data is valid, then the GCP will be drawn on AutoCAD with the air photo background (ungeoreferenced) with special prepared Auto LISP program, to guarantee the consistency in style, numbering - system and filename. Although identification is done carefully, from about 500 GCPs, 50 GCPs were in wrong location (misidentification). It means at least 6 working days with helicopter etc. Although until the end of the project, the conventional way is continuing to be used, a new approach should be developed. There is idea with cross-strip (new aerial photography). The problem is then how to identify the new air photos to the old one. Cross strips could be reducing the demand of GCP, but the error (misidentification) in GCP of cross-strips will influence very large to the whole project. In addition, the solution is still the minimum nine GCP measurements for each map sheet, but the way of survey should be improved Fig. 7. GCP on air photo Fig. 9. The actual place (12 years later) 2. MULTI-TRIANGULATION To speed up the work, following strategy could be done: (1) a stable or low. vibrating helicopter should be selected. (2) A small digital metric camera will be mounted on helicopter. (3) The camera should be connected to kinematical-differential- GPS (KiDGPS). (4) Over the potential GCP, the helicopter will fly a round the point and make several oblique snapshots photographs. (5) The projection centre for each snapshot will be derived by adjustment of all KiDGPS measurement using geodetic GCP. on base camp. (6) The photo-GCP will be identified using the actual snapshots and the old aerial photographs, where the potential photo-GCP should be found and its coordinate will be derived by forward resection using all projection centres of all-snapshots of the photo-GCP. (7) The computation could be in one bundle adjustment includes KiDGPS-base-line … measurement, new-snapshots-forward- resection; and old-photo aerial triangulation. There are also three kind of triangulation in apply: (1) The triangulation to get the the center coordinates of all snapshoot. This is done by the use of all Kinematic Differential GPS data and might be additional information from inertial system if any. a]

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