Radiometric quality assessment of images acquired by UAV's in various lighting and weather conditions

Measurement: Journal of the International Measurement Confederation

Volumn 76, Issue , 2015, Pages 156-169

  Kedzierski, Michal ^a   Wierzbicki, Damian ^a  

^a MILITARY UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Image; Low altitude photogrammetry; Radiometric quality; Unmanned aerial vehicle

Indexed keywords

AERIAL PHOTOGRAPHY; AMPHIBIOUS VEHICLES; BALLOONS; LIGHTING; METEOROLOGY; PHOTOGRAMMETRY; RADIOMETRY; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV);

DIGITAL AERIAL PHOTOGRAPHS; DIGITAL IMAGE; FLIGHT MISSION; IMAGE; LOW ALTITUDES; OBJECTIVE QUALITIES; PRIORI ERROR; RADIOMETRIC QUALITY;

IMAGE ACQUISITION;

EID: 84941351653     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2015.08.003     Document Type: Review

References (47)

1. U. Beisl, J. Telaar, and M.V. Schönermark Atmospheric correction, reflectance calibration and BRDF correction for ADS40 image data Int. Arch. Photogramm. Remote Sens. Spat. Inform. Sci. 37 Part B7 2008 7 12
2. S. Becker, N. Haala, R. Reulke, Determination and improvement of spatial resolution for digital aerial images, in: Proceedings of ISPRS Hannover Workshop 2005: High-Resolution Earth Imaging for Geospatial Information, unpaginated CD-ROM, 2005, 6 p.
3. S. Becker, N. Haala, E. Honkavaara, and L. Markelin Markelin Image restoration for resolution improvement of digital aerial images: a comparison of large format digital cameras Int. Arch. Photogramm. Remote Sens. Spat. Inform. Sci. 36 A1 2006 6 unpaginated CDROM
4. H.I. Cakir, and S. Khorrarn Pixel level fusion of panchromatic and multispectral images based on correspondence analysis Photogramm. Eng. Remote Sens. 74 2 2008 183 192
5. S. Cavegn, N. Haala, S. Nebiker, M. Rothermel, and P. Tutzauer Benchmarking high density image matching for oblique airborne imagery Int. Arch. Photogramm. Remote Sens. Spat. Inform. Sci. 1 2014 45 52
6. L. Chandelier, and G. Martinoty Radiometric aerial triangulation for the equalization of digital aerial images and orthoimages Photogramm. Eng. Remote Sens. 75 2009 193 200
7. D.M. Chandler Seven challenges in image quality assessment: past, present, and future research ISRN Signal Process. 2013 2013 4 42 Article ID 905685 10.1155/2013/905685
8. M.-J. Chen, C.-C. Su, D.-K. Kwon, L.K. Cormack, and A.C. Bovik Full-reference quality assessment of stereopairs accounting for rivalry Signal Process.: Image Commun. 228 9 2013 1143 1155
9. M. Cramer Geometry perfect - radiometry unknown? D. Fritsch, Photogrammetric Week 2011 2011 Wichmann Verlag Heidelberg, Germany 65 77
10. W. Dominik, Assessment of the influence of aerial image radiometry on the quality of point clouds generated by semi-global matching, in: International Multidisciplinary Scientific GeoConference & EXPO SGEM, vol. III, 2014, pp. 43-54. http://dx.doi.org/10.5593/SGEM2014/B23/S10.006.
11. A. Eskicioglu, P. Fisher, and S. Chen Image quality measures and their performance IEEE Trans. Commun. 43 12 1995 2959 2965
12. A. Eskicioglu, Quality measurement for monochrome compressed images in the past 25 years, in: Proceedings of IEEE International Conference on Acoustics Speech and Signal Processing, Istanbul, Turkey, 2000, pp. 1907-1910.
13. W. Förstner, E. Gülch, A fast operator for detection and precise location of distinct points, corners and centers of circular features, in: Proceedings of the ISPRS Intercommission Workshop on Fast Processing of Photogrammetric Data, 1987, pp. 281-305.
14. M. Gerke, Dense matching in high resolution oblique airborne images, in: U. Stilla, F. Rottensteiner, N. Paparoditis (Eds.), CMRT09, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Paris, France, vol. XXXVIII, Part 3/W4, 2009, pp. 77-82.
15. A. Grün Adaptive least squares correlations: a powerful matching techniques South African J. Photogramm. Remote Sens. Cartogr. 14 3 1985 175 187
16. N. Haala Multiray photogrammetry and dense image matching Photogrammetric Week 2011 2011 Wichmann Verlag Berlin/Offenbach, Germany 185 195
17. N. Haala, Dense image matching final report, EuroSDR Publication Series, Official Publication No. 64, 2014, pp.115-145.
18. D. Hernandez-Lopez, B. Felipe-Garcia, D. Gonzalez-Aguilera, and B. Arias-Perez An automatic approach to UAV flight planning and control for photogrammetric applications Photogramm. Eng. Remote Sens. 79 1 2013 87 98
19. H. Hirschmüller Semi global matching motivation, developments and applications Photogramm. Week 53 2011 173 181
20. H. Hirschmüller, Accurate and efficient stereo processing by semi-global matching and mutual information, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Tom 2, San Diego, CA, USA, 2005, pp. 807-814.
21. H. Hirschmüller, and D. Scharstein Evaluation of stereo matching costs on images with radiometric differences IEEE Trans. Pattern Anal. Mach. Intell. 31 9 2009 1582 1599
22. E. Honkavaara, R. Arbiol, L. Markelin, L. Martínez, M. Cramer, S. Bovet, L. Chandelier, R. Ilves, S. Klonus, P. Marshal, D. Schlapfer, M. Tabor, C. Thom, and N. Veje Digital airborne photogrammetry: a new tool for quantitative remote sensing? A state-of-the-art review on radiometric aspects of digital photogrammetric images Remote Sens. 1 3 2009 577 605
23. E. Honkavaara, R. Arbiol, L. Markelin, L. Martínez, M. Cramer, S. Bovet, L. Chandelier, R. Ilves, S. Klonus, P. Marshal, D. Schlapfer, M. Tabor, C. Thom, and N. Veje The EuroSDR project radiometric aspects of digital photogrammetric images - results of the empirical phase International Archives of the Photogrammetry Remote Sens. Spatial Inf. Sci. 38 19 2011 (on CD-ROM)
24. Eija Honkavaara, and et al. Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 7 2012
25. Eija Honkavaara, and et al. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture Remote Sens. 7 10 2013 5006 5039
26. Eija Honkavaara Calibrating Digital Photogrammetric Airborne Imaging Systems Using a Test Field 2008 Finnish Geodetic Institute
27. M. Kedzierski, Filtration of aerial images in spectral and frequency domain for improving the accuracy of automatic digital aerotriangulation, in: Proceedings of the 20th ISPRS Congress (Commision II), 2004, pp. 558-552.
28. M. Kedzierski, A. Frys̈kowska, and D. Wierzbicki Photogrammetric Studies from Low Altitude 2014 WAT Warsaw pp. 13-14, ISBN 978-83-7938-047-3 (in Polish)
29. M. Kedzierski, and A. Fryskowska Terrestrial and aerial laser scanning data integration using wavelet analysis for the purpose of 3D building modeling Sensors 14 7 2014 12070 12092
30. A. Liu, W. Lin, and M. Narwaria Image quality assessment based on gradient similarity IEEE Trans. Image Process. 21 4 2012 1500 1512
31. D.H. López, B.F. García, J.G. Piqueras, and G.V. Aöcázar An approach to the radiometric aerotriangulation of photogrammetric images ISPRS J. Photogramm. Remote Sens. 66 2011 883 893
32. F. Mancini, M. Dubbini, M. Gattelli, F. Stecchi, S. Fabbri, and G. Gabbianelli Using Unmanned Aerial Vehicles (UAV) for high-resolution reconstruction of topography: the structure from motion approach on coastal environments Remote Sens. 5 12 2013 6880 6898
33. K. Okarma Optimisation of the correlation of the fast image quality estimation based on the Structural Similarity with the subjective evaluation Pomiary, Automatyka, Kontrola 55 2009 444 446 (in Polish)
34. K. Okarma, and P. Mazurek Automatic image quality assessment of the super-resolution images for the register plate number recognition Logistyka 2 2010 2 3 (in Polish)
35. K. Pyka, and P. Mazurek The use of wavelets for evaluation of loss in radiometric quality in the orthophoto mosaicking process AGH UWND, seria rozprawy, monografie 152 2005 20 40 (in Polish)
36. S. Robson, and M.R. Shortis Practical influences of geometric and radiometric image quality provided by different digital camera systems Photogram. Rec. 16 92 1998 225 248
37. M. Rothermel, N. Haala, Potential of dense matching for the generation of high quality digital elevation models, in: ISPRS Hannover Workshop 2011: High-Resolution Earth Imaging for Geospatial Information, IASPRS, vol. XXXVIII-4/W19, Germany, 2011.
38. E. Rupnik, F. Nex, F. Remondino, Oblique multi-camera systems - orientation and dense matching issues, in: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Castelldefels, Spain, vol. XL-3, Part W1, 2014, pp. 107-114.
39. T. Schenk Digital photogrammetry TerraScience 1999 121 123
40. Gaurav Sharma, and H. Joel Trussell Digital color imaging IEEE Trans. Image Process. 6 7 1997 901 932
41. W. Skarbek, Digital image representation methods Akademicka Oficyna Wydawnicza PLJ Warszawa, 1993 (in Polish).
42. T.H. Tsai, and K.C. Fan An image matching algorithm for variable mesh surfaces Measurement 40 3 2007 329 337
43. Z. Wang, and A.C. Bovik A universal image quality index IEEE Signal Process. Lett. 9 3 2002 81 84
44. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli Image quality assessment: from error measurement to structural similarity IEEE Trans. Image Process. 13 2004 600 612
45. J. Woznicki Basic techniques of image processing Wydawnictwa Komunikacji i Łącznos̈ci 1 1996 115 120 (in Polish)
46. Susu Yao, and et al. Contrast signal-to-noise ratio for image quality assessment IEEE International Conference on, Image Processing, 2005, ICIP 2005 vol. 1 2005 IEEE
47. J. You, and P. Bhattacharya A wavelet-based coarse-to-fine image matching scheme in a parallel virtual machine environment IEEE Trans. Image Process. 9 9 2000 1547 1559