An automated approach for sub-pixel registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery

Remote Sensing

Volumn 8, Issue 6, 2016, Pages

  Yan, Lin ^a   Roy, David P ^a   Zhang, Hankui ^a   Li, Jian ^a   Huang, Haiyan ^a  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

Area based least squares matching; Feature based matching; Landsat 8; Registration; Sentinel 2

Indexed keywords

CONFORMAL MAPPING; ERRORS; FEATURE EXTRACTION; IMAGE MATCHING; MAPPING; MEAN SQUARE ERROR; PHOTOMAPPING; PIXELS;

FEATURE BASED MATCHING; LANDSAT; LEAST-SQUARES MATCHING; REGISTRATION; SENTINEL-2;

IMAGE PROCESSING;

EID: 84982278329     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8060520     Document Type: Article

References (58)

1. Roy, D.P.; Wulder, M.A.; Loveland, T.R.; Woodcock, C.E.; Allen, R.G.; Anderson, M.C.; Helder, D.; Irons, J.R.; Johnson, D.M.; Kennedy, R.; et al. Landsat-8: Science and product vision for terrestrial global change research. Remote Sens. Environ. 2014, 145, 154-172.
2. Irons, J.R.; Dwyer, J.L.; Barsi, J.A. The next Landsat satellite: The Landsat data continuity mission. Remote Sens. Environ. 2012, 122, 11-21.
3. Drusch, M.; Del Bello, U.; Carlier, S.; Colin, O.; Fernandez, V.; Gascon, F.; Hoersch, B.; Isola, C.; Laberinti, P.; Martimort, P.; et al. Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sens. Environ. 2012, 120, 25-36.
4. European Space Agency (ESA). Sentinel-2 User Handbook, Issue 1, Rev 2, Revision 2; ESA Standard Document; ESA: Paris, France, 2015.
5. European Space Agency (ESA). Sentinel-2 Products Specification Document, Issue 13.1; ESA REF: S2-PDGS-TAS-DI-PSD; ESA: Paris, France, 2015.
6. Arvidson, T.; Gasch, J.; Goward, S.N. Landsat 7's long-term acquisition plan-An innovative approach to building a global imagery archive. Remote Sens. Environ. 2001, 78, 13-26.
7. Loveland, T.R.; Dwyer, J.L. Landsat: Building a strong future. Remote Sens. Environ. 2012, 122, 22-29.
8. Languille, F.; Déchoz, C.; Gaudel, A.; Greslou, D.; de Lussy, F.; Trémas, T.; Poulain, V. Sentinel-2 geometric image quality commissioning: First results. Proc. SPIE 2015.
9. Storey, J.; Choate, M.; Lee, K. Landsat-8 Operational Land Imager on-orbit geometric calibration and performance. Remote Sens. 2014, 6, 11127-11152.
10. Storey, J. Sentinel-2 On-orbit geometric analysis and harmonization plans. In Proceedings of the Landsat Science Team Meeting, Virginia Tech, Blacksburg, VA, USA, 12-14 January 2016.
11. Tucker, C.J.; Grant, D.M.; Dykstra, J.D. NASA's global orthorectified Landsat data set. Photogramm. Eng. Remote Sens. 2004, 70, 313-322.
12. Gutman, G.; Huang, C.; Chander, G.; Noojipady, P.; Masek, J.G. Assessment of the NASA-USGS global land survey (GLS) datasets. Remote Sens. Environ. 2013, 134, 249-265.
13. Briottet, X.; Lier, P.; Valorge, C. Satellite Imagery, From Acquisition Principles to Processing of Optical Images for Observing the Sarth; Cepadues Editions: Toulouse, France, 2012.
14. Dechoz, C.; Poulain, V.; Massera, S.; Languille, F.; Greslou, D.; de Lussy, F.; Gaudel, A.; L'Helguen, C.; Picard, C.; Trémas, T. Sentinel-2 global reference image. Proc. SPIE 2015.
15. Storey, J.C.; Roy, D.P.; Masek, J.G.; Dwyer, J.L.; Gascon, F.; Choate, M.J. A note on the temporary mis-registration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery. Remote Sens. Environ. Submitted.
16. Zitova, B.; Flusser, J. Image registration methods: A survey. Image Vis. Comput. 2003, 21, 977-1000.
17. Long, T.; Jiao,W.; He, G.; Zhang, Z. A fast and reliable matching method for automated georeferencing of remotely-sensed imagery. Remote Sens. 2016, 8, 56.
18. Goshtasby, A. Piecewise cubic mapping functions for image registration. Pattern Recognit. 1987, 20, 525-533.
19. Roy, D.P.; Devereux, B.; Grainger, B.; White, S. Parametric geometric correction of airborne thematic mapper imagery. Int. J. Remote Sens. 1997, 18, 1865-1887.
20. Liu, D.; Gong, P.; Kelly, M.; Guo, Q. Automatic registration of airborne images with complex local distortion. Photogramm. Eng. Remote Sens. 2006, 72, 1049-1059.
21. Li, R.; Hwangbo, J.; Chen, Y.; Di, K. Rigorous photogrammetric processing of HiRISE stereo imagery for Mars topographic mapping. IEEE Trans. Geosci. Remote Sens. 2011, 49, 2558-2572.
22. Ustin, S.L.; Roberts, D.A.; Pinzon, J.; Jacquemoud, S.; Gardner, M.; Scheer, G.; Castaneda, C.M.; Palacios-Orueta, A. Estimating canopy water content of chaparral shrubs using optical methods. Remote Sens. Environ. 1998, 65, 280-291.
23. Roy, D.P.; Qin, Y.; Kovalskyy, V.; Vermote, E.F.; Ju, J.; Egorov, A.; Hansen, M.C.; Kommareddy, I.; Yan, L. Conterminous United States demonstration and characterization of MODIS-based Landsat ETM+ atmospheric correction. Remote Sens. Environ. 2014, 140, 433-449.
24. Gao, F.; Masek, J.G.; Wolfe, R.F. An automated registration and orthorectification package for Landsat and Landsat-like data processing. J. Appl. Remote Sens. 2009, 3, 033515.
25. Devaraj, C.; Shah, C.A. Automated geometric correction of multispectral images from High Resolution CCD Camera (HRCC) on-board CBERS-2 and CBERS-2B. ISPRS J. Photogramm. Remote Sens. 2014, 89, 13-24.
26. Zhang, H.K.; Roy, D.P. Computationally inexpensive Landsat-8 Operational Land Imager (OLI) pansharpening. Remote Sens. 2016, 8, 180.
27. Snyder, J.P. Flattening the Earth: Two Thousand Years of Map Projections; The University of Chicago Press: Chicago, IL, USA; London, UK, 1993.
28. Roy, D.P.; Ju, J.; Kline, K.; Scaramuzza, P.L.; Kovalskyy, V.; Hansen, M.; Loveland, T.R.; Vermote, E.; Zhang, C. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sens. Environ. 2010, 114, 35-49.
29. Web-Enabled Landsat Data (WELD). Available online: http://globalweld.cr.usgs.gov/collections (accessed on 6 June 2016).
30. Wolfe, R.; Nishihama, M.; Fleig, A.; Kuyper, J.; Roy, D.; Storey, J.; Patt, F. Achieving sub-pixel geolocation accuracy in support of MODIS land science. Remote Sens. Environ. 2002, 83, 31-49.
31. Konecny, G. Mathematical models and procedures for the geometric registration of remote sensing imagery. Int. Arch. Photogramm. Remote Sens. 1976, 21, 1-33.
32. Roy, D.P.; Borak, J.; Devadiga, S.; Wolfe, R.; Zheng, M.; Descloitres, J. The MODIS land product quality assessment approach. Remote Sens. Environ. 2002, 83, 62-76.
33. Shlien, S. Geometric correction, registration and resampling of Landsat imagery. Can. J. Remote Sens. 1979, 5, 75-89.
34. Thevenaz, P.; Ruttimann, U.E.; Unser, M. A pyramid approach to subpixel registration based on intensity. IEEE Trans. Image Process. 1998, 7, 27-41.
35. Adelson, E.H.; Anderson, C.H.; Bergen, J.R.; Burt, P.J.; Ogden, J.M. Pyramid methods in image processing. RCA Eng. 1984, 29, 33-41.
36. Förstner, W.; Guelch, E. A Fast operator for detection and precise location of distinct points, corners and centers of circular features. In Proceedings of the ISPRS IntercommissionWorkshop on Fast Processing of Photogrammetric Data, Interlaken, Switzerland, 2-4 June 1987; pp. 281-305.
37. Lowe, D.G. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 2004, 60, 91-110.
38. Di, K.; Xu, F.; Wang, J.; Agarwal, S.; Brodyagina, E.; Li, R.; Matthies, L. Photogrammetric processing of rover imagery of the 2003 Mars Exploration Rover mission. ISPRS J. Photogramm. Remote Sens. 2003, 63, 181-201.
39. Di, K.; Liu, Z.; Yue, Z. Mars rover localization based on feature matching between ground and orbital imagery. Photogram. Eng. Remote Sens. 2011, 77, 781-791.
40. Wu, B.; Guo, J.; Hu, H.; Li, Z.; Chen, Y. Co-registration of lunar topographic models derived from Chang'E-1, SELENE, and LRO laser altimeter data based on a novel surface matching method. Earth Planet. Sci. Lett. 2013, 364, 68-84.
41. Pratt, W.K. Digital Image Processing, 2nd ed.;Wiley: New York, NY, USA, 1991.
42. Lewis, J.P. Fast normalized cross-correlation. Vis. Interface 1995, 10, 120-123.
43. Förstner,W. On the geometric precision of digital correlation. Int. Arch. Photogramm. Remote Sens. 1982, 24, 176-189.
44. Gruen, A. Adaptive least squares correlation: A powerful image matching technique. S. Afr. J. Photogramm. Remote Sens. Cartogr. 1985, 14, 175-187.
45. Gruen, A. Development and status of image matching in photogrammetry. Photogram. Rec. 2012, 27, 36-57.
46. Remondino, F.; El-Hakim, S.; Gruen, A.; Zhang, L. Turning images into 3-D models. IEEE Signal. Process. Mag. 2008, 25, 55-65.
47. Kruse, F.A.; Lefkoff, A.B.; Boardman, J.W.; Heidebrecht, K.B.; Shapiro, A.T.; Barloon, P.J.; Goetz, A.F.H. The spectral image processing system (SIPS)-Interactive visualization and analysis of imaging spectrometer data. Remote Sens. Environ. 1993, 44, 145-163.
48. Keshava, N. Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries. IEEE Trans. Geosci. Remote Sens. 2004, 42, 1552-1565.
49. Van der Meer, F. The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery. Int. J. Appl. Earth Obs. Geoinform. 2006, 8, 3-17.
50. Yan, L.; Niu, X. Spectral-angle-based Laplacian eigenmaps for nonlinear dimensionality reduction of hyperspectral imagery. Photogramm. Eng. Remote Sens. 2014, 80, 849-861.
51. Yan, L.; Roy, D.P. Improved time series land cover classification by missing-observation-adaptive nonlinear dimensionality reduction. Remote Sens. Environ. 2015, 158, 478-491.
52. Witkin, A.P. Scale-space filtering: A new approach to multi-scale description. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'84), San Diego, CA, USA, 19-21 March 1984; Volume 9, pp. 150-153.
53. Toutin, T. Review article: Geometric processing of remote sensing images: Models, algorithms and methods. Int. J. Remote Sens. 2004, 25, 1893-1924.
54. Townshend, J.R.; Justice, C.O.; Gurney, C.; McManus, J. The impact of misregistration on change detection. IEEE Trans. Geosci. Remote Sens. 1992, 30, 1054-1060.
55. Roy, D.P. The impact of misregistration upon composited wide field of view satellite data and implications for change detection. IEEE Trans. Geosci. Remote Sens. 2000, 38, 2017-2032.
56. De Leeuw, A.J.; Veugen, L.M.M.; Van Stokkom, H.T.C. Geometric correction of remotely-sensed imagery using ground control points and orthogonal polynomials. Int. J. Remote Sens. 1988, 9, 1751-1759.
57. Roy, D.P.; Zhang, H.K.; Ju, J.; Gomez-Dans, J.L.; Lewis, P.E.; Schaaf, C.B.; Sun, Q.; Li, J.; Huang, H.; Kovalskyy, V. A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance. Remote Sens. Environ. 2016, 176, 255-271.
58. Atzberger, C. Remote Sensing Special Issue: First Experiences with European Sentinel-2 Multi-Spectral Imager (MSI). 2016. Available online: http://www.mdpi.com/journal/remotesensing/special_issues/ sentinel-2_msi (accessed on 6 June 2016).