Automation aspects for the georeferencing of photogrammetric aerial image archives in forested scenes

Remote Sensing

Volumn 7, Issue 2, 2015, Pages 1565-1593

  Nurminen, Kimmo ^a   Litkey, Paula ^a   Honkavaara, Eija ^a   Vastaranta, Mikko ^a,b   Holopainen, Markus ^a,b   Lyytikäinen Saarenmaa, Päivi ^b   Kantola, Tuula ^b   Lyytikäinen, Minna ^b  

^a FINNISH GEOSPATIAL RESEARCH INSTITUTE   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Change detection; Digital surface model; Environmental model; Georeferencing; Image; Laser scanning; Map database; Orthophoto; Photogrammetry; Time series

Indexed keywords

AUTOMATION; ERROR STATISTICS; FORESTRY; LASER APPLICATIONS; MAPS; MEAN SQUARE ERROR; PHOTOGRAMMETRY; QUALITY CONTROL; ROCK MECHANICS; SURFACE ANALYSIS; THREE DIMENSIONAL COMPUTER GRAPHICS; TIME SERIES;

CHANGE DETECTION; DIGITAL SURFACE MODELS; ENVIRONMENTAL MODEL; GEOREFERENCING; IMAGE; LASER SCANNING; ORTHO PHOTOS;

AERIAL PHOTOGRAPHY;

DATA BASES; FORESTS; IMAGE ANALYSIS; LAND USE; PHOTOGRAMMETRY; TIME SERIES ANALYSIS;

EID: 84928805096     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70201565     Document Type: Article

References (54)

1. Moe, D.; Longhenry, R. Metrically preserving the USGS aerial film archive. Photogramm. Eng. Remote Sens. 2013, 79, 225-228.
2. UK National Collection of Aerial Photography. Available online: http://ncap.org.uk/about-ncap/our-work (accessed on 5 December 2014).
3. Korpela, I. Geometrically accurate time series of archived aerial images and airborne lidar data in a forest environment. Silva Fenn. 2006, 40, 109-126.
4. Véga, C.; St-Onge, B. Height growth reconstruction of a boreal forest canopy over a period of 58 years using a combination of photogrammetric and lidar models. Remote Sens. Environ. 2008, 112, 1784-1794.
5. Kadmon, R.; Harari-Kremer, R. Studying long-term vegetation dynamics using digital processing of historical aerial photographs. Remote Sens. Environ. 1999, 68, 164-176.
6. Redecker, A.P. Historical aerial photographs and digital photogrammetry for impact analyses on derelict land sites in human settlement areas. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2008, 37, 5-10.
7. Skaloš, J.; Engstová, B. Methodology for mapping non-forest wood elements using historic cadastral maps and aerial photographs as a basis for management. J. Environ. Manag. 2010, 91, 831-843.
8. Cousins, S.A.O. Analysis of land-cover transitions based on 17th and 18th century cadastral maps and aerial photographs. Landsc. Ecol. 2001, 16, 41-54.
9. Narumalani, S.; Mishra, D.R.; Rothwell, R.G. Change detection and landscape metrics for inferring anthropogenic processes in the greater EFMO area. Remote Sens. Environ. 2004, 91, 478-489.
10. Galster, J.C.; Pazzaglia, F.J.; Germanoski, D. Measuring the impact of urbanization on channel widths using historic aerial photographs and modern surveys. J. Am. Water Resour. Assoc. 2008, 44, 948-960.
11. Hanson, W.S.; Oltean, I.A. Archaeology from Historical Aerial and Satellite Archives; Springer: New York, NY, USA, 2013.
12. Fox, A.J.; Cziferszky, A. Unlocking the time capsule of historic aerial photography to measure changes in Antarctic Peninsula glaciers. Photogramm. Rec. 2008, 23, 51-68.
13. Vogiatzis, M. Cadastral mapping of forestlands in Greece: Current and future challenges. Photogramm. Eng. Remote Sens. 2008, 74, 39-46.
14. Jorgenson, M.T.; Racine, C.H.; Walters, J.C.; Osterkamp, T.E. Permafrost degradation and ecological changes associated with a warming climate in central Alaska. Clim. Change 2001, 48, 551-579.
15. Baltsavias, E.; Gruen, A.; Eisenbeiss, H.; Zhang, L.; Waser, L.T. High-quality image matching and automated generation of 3D tree models. Int. J. Remote Sens. 2008, 29, 1243-1259.
16. Hirschmüller, H. Semi-Global Matching-motivation, developments and applications. In Photogrammetric Week '11; Fritsch, D., Ed.; Herbert Wichmann Verlag: Heidelberg, Germany, 2011.
17. Wenzel, K.; Rothermel, M.; Haala, N.; Fritsch, D. SURE-The ifp software for dense image matching. In Photogrammetric Week '13; Fritsch, D., Ed.; Herbert Wichmann Verlag: Heidelberg, Germany, 2013.
18. Rotenberg, K.; Simard, L.; Simard, P. Dense DSM generation using the GPU. In Photogrammetric Week '13; Fritsch, D., Ed.; Herbert Wichmann Verlag: Heidelberg, Germany, 2013.
19. Vassilaki, D.; Ioannidis, C.; Stamos, A. Recovery of the geometry of historical aerial photos associating self-calibration with ground control linear features. In Proceedings of the 1st EARSeL Workshop on Temporal Analysis of Satellite Images, Mykonos, Greece, 23-25 May 2012; pp. 202-207.
20. Ma, R. Rational function model in processing historical aerial photographs. Photogramm. Eng. Remote Sens. 2013, 79, 337-345.
21. Aguilar, M.A.; Aguilar, F.J.; Fernández, I.; Mills, J.P. Accuracy assessment of commercial self-calibrating bundle adjustment routines applied to archival aerial photography. Photogramm. Rec. 2013, 28, 96-114.
22. Borgogno Mondino, E.; Chiabrando, R. Multi-temporal block adjustment for aerial image time series: The Belvedere glacier case study. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2008, XXXVII, Part B2. 89-94.
23. Hobbie, D. The Development of Photogrammetric Instruments and Methods at Carl Zeiss in Oberkochen; Verlag der Bayerischen Akademie der Wissenschaften in Kommission beim Verlag C.H. Beck: Munich, Germany, 2010.
24. Hughes, D.; Fricker, P.; Chapuis, A.; Traversari, E.; Schreiber, P.; Schapira, F. The Development of Photogrammetry in Switzerland. Available online: http://www.wild-heerbrugg.com/photogrammetry1.htm (accessed on 5 December 2014).
25. Hildebrand, K. New generation lens systems for the Wild Aviophot Aerial Camera System. Photogramm. Eng. Remote Sens. 1983, 49, 1201-1209.
26. Schlienger, R.; Fricker, P.; Rohrbach, A.; Schade, H. Increased image quality resulting from new technologies in aerial cameras. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 1996, 31. Part B1.
27. Schwidefsky, K. Grundriß der Photogrammetrie,6.,neubearbeitete und erweiterte Auflage; B.G. Teubner Verlagsgesellschaft mbH: Stuttgart, Germany, 1963.
28. Cimerman, V.J.; Tomašegovic, Z. Atlas of Photogrammetric Instruments; Elsevier Publishing Company: Amsterdam, The Netherlands, 1970.
29. Manual of Photogrammetry, 4th ed.; Slama, C.C., Theurer, C., Henriksen, S.W., Eds.; American Society of Photogrammetry: Falls Church, VI, USA, 1980.
30. National Park Service; cold storage. Available online: http://www.nps.gov/museum/coldstorage/html/ (accessed on 5 December 2014).
31. Timeline for Film History. Available online: http://www.brightlineinteractive.com/_projects/NPS-CS/flash/pdf/2.3.1a.pdf (accessed on 5 December 2014).
32. A Short Guide to Film Base Photographic Materials: Identification, Care, and Duplication. Available online: http://www.nedcc.org/free-resources/preservation-leaflets/5.-photographs/5.1-a-short-guide-to-film-base-photographic-materials-identification,-care,-and-duplication (accessed on 5 December 2014).
33. Chronology of photographic processes; Conserve O Gram. 1993. Number 14/3. Available online: http://www.nps.gov/museum/publications/conserveogram/14-03.pdf (accessed 28th of May 2014).
34. Clarke, America's First Satellite Surveillance 2014. Available online: http://www.geog.ucsb.edu/~kclarke/Corona/story2.htm (accessed on 5 December 2014).
35. Brandes, J. Further developments of film emulsions. In Photogrammetric Week '03; Fritsch, D., Ed.; Herbert Wichmann Verlag: Heidelberg, Germany, 2003; pp. 89-93.
36. National Land Survey of Finland, National Land Survey open data licence-version 1.0-1 May 2012. Available online: http://www.maanmittauslaitos.fi/en/NLS_open_data_licence:version1_20120501 (accessed on 26 January 2015).
37. National Land Survey of Finland; Topographic database. Available online: http://www.maanmittauslaitos.fi/en/digituotteet/topographic-database (accessed on 5 December 2014).
38. Walker, S. New features in SOCET SET®. In Photogrammetric Week '07; Fritsch, D., Ed.; Herbert Wichmann Verlag: Heidelberg, Germany, 2007.
39. Honkavaara, E.; Litkey, P.; Nurminen, K. Automatic storm damage detection in forests using high-altitude photogrammetric imagery. Remote Sens. 2013, 5, 1405-1424.
40. Nurminen, K.; Karjalainen, M.; Yu, X.; Hyyppä, J.; Honkavaara, E. Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables. ISPRS J. Photogramm. Remote Sens. 2013, 83, 104-115.
41. Schwidefsky, K.; Ackermann, F. Fotogrammetria; Otakustantamo: Espoo, Finland, 1978. (Finnish translation of: Schwidefsky, K., Ackermann, F., Eds.; Photogrammetrie, 7th ed.; B.G. Teubner: Stuttgart, Germany, 1976.
42. Wu, C.; Agarwal, S.; Curless, B.; Seitz, S.M. Multicore bundle adjustment. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, CO, USA, 20-25 June 2011; pp. 3057-3064.
43. Wu, C. Towards linear-time incremental structure from motion. In Proceedings of the International Conference on 3D Vision, Seattle, WA, USA, 29 June-1 July 2013; pp. 127-134.
44. Fraser, C.S. Automatic camera calibration in close range photogrammetry. Photogramm. Eng. Remote Sens. 2013, 79, 381-388.
45. Tournadre, V.; Pierrot-Deseilligny, M.; Faure, P.H. UAV photogrammetry to monitor dykes-calibration and comparison to terrestrial lidar. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2014, Volume XL-3/W1, 143-148.
46. Fraser, C.S.; Stamatopoulos, C. Automated target-free camera calibration. In Proceedings of the ASPRS 2014 Annual Conference Proceedings, Louisville, KY, USA, 23-28 March 2014.
47. DeVenecia, K.; Walker, S.; Zhang, B. New approaches to generating and processing high resolution elevation data with imagery. In Photogrammetric Week '07; Fritsch, D., Ed.; Herbert Wichmann Verlag: Heidelberg, Germany, 2007.
48. Miller, S. Photogrammetric products. In ASPRS Manual of Photogrammetry, 5th ed.; McGlone, J.C., Mikhail, E., Bethel, J., Eds.; American Society for Photogrammetry and Remote Sensing: Bethesda, MD, USA, 2004; pp. 960-963, 993-1003960-963, 993-1003.
49. Kraus, K. Photogrammetry, Volume 1, Fundamentals and Standard Processes, 4th revised and enlarged ed.; Ferd. Dümmlers-Verlag: Bonn, Germany, 1993.
50. Zhang, L.; Gruen, A. Automatic DSM generation from linear array imagery data. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2004, XXXV, Part B3. 128-133.
51. Pérez, J.A.; Bascon, F.M.; Charro, M.C. Photogrammetric usage of 1956-1957 USAF aerial photography of Spain. Photogramm. Record 2014, 29, 108-124.
52. Gruen, A. Development and status of image matching in photogrammetry. Photogramm. Rec. 2012, 27, 36-57.
53. Remondino, F.; Del Pizzo, S.; Kersten, T.P.; Troisi, S. Low-cost and open-source solutions for automated image orientation-A critical overview. In Progress in Cultural Heritage Preservation, Proceedings of the 4th International Conference, EuroMed 2012, Lemessos, Cyprus, 29 October-3 November 2012; Springer: Berlin, Germany; pp. 40-54.
54. Gneeniss, A.S.; Mills, J.P.; Miller, P.E. In-flight photogrammetric camera calibration and validation via complementary lidar. ISPRS J. Photogramm. Remote Sens. 2015, 100, 3-13.