Supply of photogrammetric projects with reference information obtained from large-scale aerial images

Authors:
1
Lviv Polytechnic National University

Objective. Permanent growth of the volume of remote-obtained information about location sets have challenged tasks for scientists and experts concerning quality of its processing in terms of efficiency, completeness, subject, and geometrical accuracy. The important precondition for performance of the tasks is to supply reference information for the images. The information is necessary for performance of a photogrammetric process of geometric correction of the images and for presentation of the images and geo-information products, made on their base, in the determined cartographic projection and coordinates. Analysis of current methods in photogrammetry proves substantial prospects for application of geo-referenced images for the transfer of geodesic information onto new images. In the authors’ interpretation, those geo-referenced images are called “reference images”, because they are pictures of the objects with an exactly defined geodesic position. One should not associate this notion with a reference point in its classical meaning. The main goal of the work is to develop a method to get control images of the location and transfer of the images onto aerial and satellite images. To reach the set goal the authors of the article developed a method to process an aerial image or a series of aerial images of different scales, which supply an informative source for creation of control images. It is proposed to test the developed method experimentally, supplying a block of archive aerial images with reference information. Methods and findings of the work. According to the set goal, the authors of the article made analysis of literary sources that describe innovative ways to supply reference information for aerial and satellite images. The researchers propose to use UAVs, preferably of helicopter type, to get a series of aerial images from different altitudes over the reference point. Depiction of the reference point (control image) at an image of the largest scale is appropriately distinguished by the operator or automatically, according to a pre-determined pattern image. The next step is to make a correlation search of the image of a reference point gradually onto the image of a smaller scale. Thus, there is a transfer of the position of a reference point onto a geo-referenced image. The method enables performing geodesic work on the location after the process of main aerial imagey, choosing the position of reference points according to a configuration of an actual photogrammetric block of aerial images. There is no need of clear contours on a location. Scientific novelty and practical importance. The research first gives a concrete explanation of the notion of “control image” for the tasks of geometric correction and geo-referencing of aerial and space images. The work proposes the method to get a control image from an UAV - aerial image or a series of aerial images of different scales. Effect of the method is demonstrated on the example of supplying a block of aerial images of a little-contour location with reference information. Results of approbation of the proposed method secure more efficient geodesic support for photogrammetric projects by means of refusal from physical layout of the location of an aerial image.

  1. Berveglieri A., Tommaselli A. Multi-Scale Matching for the Automatic Location of Control Points in Large Scale Aerial Images Using Terrestrial Scenes. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2014, Vol. XL-3/W1. Available from: https://www.researchgate.net/publication/263005459_Multi-Scale_Matching_for_the_Automatic_Location_of_Control_Points_in_Large_Scale_Aerial_Images_Using_Terrestrial_Scenes
  2. Blokhinov Yu. B., Gorbachev V. A. Privyazka nazemnykh obektov na aerofotosnimkakh na osnove analiza konturov [Binding of terrestrial objects on aerial images based on contour analysis]. Izvestiya Rossiyskoy akademii nauk. Teoriya i sistemy upravleniya [Izvestiya of the Russian Academy of Sciences. Theory and control systems]. Moskow, no. 5, 2011, pp. 66–77.
  3. Boshnyakovich I. D., Glebovskiy Yu. S. Fotoprivyazka aerogeofizicheskikh marshrutov i anomaliy [Photoreplacement of aerogeophysical routes and anomalies]. Moskow. Gosgeoltekhizdat, 1963, 171 p.
  4. Cheng-Chien Liu, Po-Li Chen. Automatic extraction of ground control regions and orthorectification of remote sensing imagery. OPTICS EXPRESS. 2009, vol. 17, no. 10, pp. 7970–7984.
  5. Dorozhynskyy, O., Tukaj, R. Fotogrammetria (Photogrammetry). Wydawnictwo Politechniki Lwowskiej, Lwow-Krakow, 2009, 315 p.
  6. Forsayt Devid, Pons Zhan. Obrabotka izobrazheniy: sovremennyy podkhod [Image processing: a modern approach]. Moscow. Wilyams, 2004, 928 p.
  7. Grussenmeyer P., Al Khalil O. Solutions for exterior orientation in photogrammetry, a review. The photogrammetric record, an international journal of photogrammetry. 2002, no. 17(100), pp. 615–634.
  8. Hamidi M., Samadzadegan F. Precise 3D geo-location of UAV images using geo-referenced data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.  XL-1/W5, 2015 International Conference on Sensors & Models in Remote Sensing & Photogrammetry, 23–25 Nov 2015, Kish Island, Iran. pp. 269–275.
  9. Höhle J. Automatic orientation of the aerial images on database information. OEEPE, Official publication No. 36. 1999, pp. 71–117.
  10. Höhle J. OEEPE Project-Automatic Orientation of Aerial Images by Means of Existing Orhoimages and Height Data. Newsletter OEEPE. 1998, No. 2, pp. 5–9.
  11. Jaw J.J., Wu Y.S. Automatic Photo Orientation via Matching with Control Patches. ISPRS Archives, Vol. XXXV Part B3, 2004 XXth ISPRS Congress Technical Commission III July 12-23, 2004 Istanbul, Turkey, pp. 1168–1172. Available at: http://www.isprs.org/proceedings/XXXV/congress/comm3/papers/443.pdf
  12. Jędryczka R. Automatyzacja procesu wyznaczania elementów orientacji zewnętrznej Archiwum Fotogrametrii, Kartografii i Teledetekcji. Kraków. 2000, vol. 10, pp. 44-1: 44-10. Available at: http://kfit.uwm.edu.pl/renataj/publikacje/Jedryczka_Krakow_2000.pdf
  13. Knizhnikov Yu. F., Kravtsova V. I., Baldina Ye. A., Gelman P. N., Zinchuk N. N., Zolotarev Ye. L., Labutina I. A., Kharkovets Ye.G., Kotseruba A.D. Tsifrovaya stereoskopicheskaya model mestnosti: Eksperimentalnye issledovaniya [Digital stereoscopic terrain model: Experimental studies]. Monografiya. Pod red. Yu.F. Knizhnikova. Moskow. Nauchnyy mir. 2004, 244 p.
  14. Läbe T., Ellenbeck K.H. 3D-Wireframe Models as Ground Control Points for the Automatic Exterior Orientation. In: International Archives for Photogrammetry and Remote Sensing. 1996, Part B2, Vol.31, pp. 218-223.
  15. Li R., Zhou G., Schmidt J., Fowler C., Tuell G. Photogrammetric processing of high-resolution airborne and satellite linear array stereo images for mapping applications, International Journal of Remote Sensing. 2002, vol. 23, no. 20, pр. 4451-4473.
  16. Ma Z., Wu X., Yan L., Xu Z. Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation. Sensors (Basel, Switzerland). 2017, 17(2), 240. Available from: http://www.mdpi.com/1424-8220/17/2/240/pdf
  17. Müller R., Krauß T., Schneider M., Reinartz P. Automated georeferencing of optical satellite data with integrated sensor model improvement. Photogrammetric Engineering & Remote Sensing. Vol.78, No.1, January 2012, pp. 61–74. Available from: http://www.ingentaconnect.com/contentone/asprs/pers/2012/00000078/00000001/art00005?crawler=true  
  18. Müller R., Krauß T., Schneider M., Reinartz P. A Method for Geometric Processing of Optical Satellite Images Using Automatically Determined Ground Control Information. Canadian Geomatics Conference 2010, 15 June - 18 June, Calgary, Canada. Available from: http://elib.dlr.de/65227/1/ISPRS-RM-reduced.pdf
  19. Nekrasov V. V. Razrabotka tekhnologii ispolzovaniya snimkov vysokogo prostranstvennogo razresheniya pri postroenii tsifrovoy modeli relefa po materialam kosmicheskikh sjemok [Development of a technology for the use of high spatial resolution images in the construction of a digital terrain model based on materials from space surveys]. Spetsialnost 25.00.34 «Aerokosmicheskie issledovaniya Zemli, fotogrammetriya» [Specialty 25.00.34 «Aerospace researches of the Earth, photogrammetry»]. Avtoreferat dissertatsii na soiskanie uchenoy stepeni kandidata tekhnicheskikh nauk [The dissertation author's abstract on competition of a scientific degree of the candidate of technical sciences]. Moscow, 2008, 23 p.
  20. OEEPE Seminar Report. By Jie Shan, University of Gävle, Sweden. 1999. Available from: http://www.isprs.org/publications/highlights/highlights0402/oeepe-report.pdf
  21. Paszotta Z. Matching Orthoimages and Direct Method Determining Exterior Orientation Elements.  European Organization for Experimental Photogrammetric Research.Official Publication No.36, 1999, pp.145–150.
  22. Paszotta Z. Method of Exterior Orientation of Aerial Images by Matching Orthoimages. Dissertations and Monographs 28, University of Warmia and Mazury in Olsztyn, 1999.
  23. Potůčková M. Image matching and its application in photogrammetry. Ph.D. thesis, Czech Technical University in Prague, 2004.
  24. Potůčková M. MATLAB and photogrammetric applications. Available from: http://www2.humusoft.cz/www/papers/tcp05/potuckova.pdf
  25. Shan J. An Approach to Single Image Automatic Orientation and Point Determination by Using Ortho-Image and DTM. Photogrammetric Record. 2001, 17(98), pp. 343–353.
  26. Shirokova T. A., Chermoshentsev A. Yu., Barmitova A. T. Issledovanie tochnosti vizirovaniya na tochki kosmicheskikh snimkov vysokogo i srednego razresheniya [Investigation of sighting accuracy of medium and high resolution satellite images]. Vestnik SGUGiT (Sibirskogo gosudarstvennogo universiteta geosistem i tekhnologiy) [Siberian State University of Geosystems and Technologies]. 2010., no. 2 (13). pp. 31–36.
  27. Shkurchenko Yu. V. Fotogrammetrichne kalіbruvannya znіmkіv pri pobudovі merezh analіtichnoi fototrіangulyatsіi [Photogrammetric calibration of photos during construction of networks of analytical phototriangulation]: dissert. candidate of technic sciences. Lviv Polytechnic National University. Lvіv, 2004, 143 p.
  28. Tang S., Wu B., Zhu Q. Combined adjustment of multi-resolution satellite imagery for improved geopositioning accuracy. ISPRS Journal of Photogrammetry and Remote Sensing. 2016. Vol. 114, pp. 125–136.