Locally adaptive template sizes for matching repeat images of Earth surface mass movements

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 69, Issue , 2012, Pages 10-28

  Debella Gilo, Misganu ^a   Kääb, Andreas ^a  

^a UNIVERSITY OF OSLO   (Norway)

Author keywords

Adaptive template; Displacement; Image matching; Mass movement; Normalized cross correlation

Indexed keywords

ADAPTIVE TEMPLATE; CROSS-CORRELATION COEFFICIENT; DISPLACEMENT; DISPLACEMENT ESTIMATION; EARTH SURFACE; GEOMETRIC DISTORTION; HORIZONTAL SURFACE DISPLACEMENT; MASS MOVEMENT; NORMALIZED CROSS-CORRELATION; ONE STEP; SIGNALTONOISE RATIO (SNR); TEMPLATE SIZES;

ALGORITHMS; IMAGE RECONSTRUCTION; SIGNAL TO NOISE RATIO;

IMAGE MATCHING;

ALGORITHM; CORRELATION; DISPLACEMENT; EARTH STRUCTURE; ERROR ANALYSIS; GEOMETRY; MASS MOVEMENT; MEASUREMENT METHOD; NUMERICAL MODEL; RECONSTRUCTION; SIGNAL-TO-NOISE RATIO;

EID: 84857935945     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2012.02.002     Document Type: Article

References (35)

1. Brown L.G. A survey of image registration techniques. ACM Computing Surveys 1992, 24(4):325-376.
2. Copland L., Pope S., Bishop M.P., Shroder J.F., Clendon P., Bush A., Kamp U., Seong Y.B., Owen L.A. Glacier velocities across the central Karakoram. Annals of Glaciology 2009, 50(52):41-49.
3. Cyganek B. Adaptive window growing technique for efficient image matching. Lectre Notes in Computer Science 3522 2005, 308-315. Springer-Verlag, Berlin. J.S. Marques (Ed.).
4. Debella-Gilo M., Kääb A. Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation. Remote Sensing of Environment 2011, 115(1):130-142.
5. Debella-Gilo M., Kääb A. Measurement of surface displacement and deformation of mass movements using least squares matching of repeat high resolution satellite and aerial images. Remote sensing 2012, 4(1):43-67.
6. Fusiello A., Roberto V., Trucco E. Symmetric stereo with multiple windowing. International Journal of Pattern Recognition and Artificial Intelligence 2000, 14(8):1053-1066.
7. Gonzalez R.C., Woods R.E. Digital image processing 2008, Pearson/Prentice Hall, Upper Saddle River, NJ. third ed.
8. Haug T., Kääb A., Skvarca P. Monitoring ice shelf velocities from repeat MODIS and Landsat data - a method study on the Larsen C ice shelf, antarctic Peninsula and 10 other ice shelves around Antarctica. The Cryosphere 2010, 4(2):161-178.
9. Immerkær J. Fast noise variance estimation. Computer Vision and Image Understanding 1996, 64(2):300-302.
10. Kääb A., Vollmer M. Surface geometry, thickness changes and flow fields on creeping mountain permafrost: automatic extraction by digital image analysis. Permafrost and Periglacial Processes 2000, 11(4):315-326.
11. Kääb A., Lefauconnier B., Melvold K. Flow field of Kronebreen, Svalbard, using repeated Landsat 7 and ASTER data. Annals of Glaciology 2005, 42(1):7-13.
12. Kanade, T., Okutomi, M., 1991. A stereo matching algorithm with an adaptive window - theory and experiment, IEEE International Conference on Robotics and Automation, Sacramento, California, April, pp. 1088-1095.
13. Kanade T., Okutomi M. A stereo matching algorithm with an adaptive window: theory and experiment. IEEE Transactions on Pattern Analysis and Machine Intelligence 1994, 16(9):920-932.
14. Koo H.S., Jeong C.S. An area-based stereo matching using adaptive search range and window size. Lectre Notes in Computer Science 2074 2001, 308-315. Springer-Verlag, Berlin. V.N. Alexandrov (Ed.).
15. Lewis J.P. Fast Normalized Cross-Correlation 1995, Vision Interface, pp. 120-123.
16. Lotti, J.-L., Giraudon, G., 1994. Correlation algorithm with adaptive window for aerial image in stereo vision. In: Jacky Desachy (Ed.), Proc. Image and Signal Processing for Remote Sensing, Rome, Italy, 26 September, vol. 2315, pp. 76-87.
17. Nillius P., Eklundh J.-O. Fast Block Matching with Normalized Cross-Correlation using Walsh Transforms 2002, Department of Numerical Analysis and Computer Science, Royal Institute of Technology, Sweden, p. 10.
18. Okutomi, M., Kanade, T., 1990. A Locally Adaptive Window for Signal Matching, In: Proc. 3rd International Conference on Computer Vision, Osaka, Japan, 4-7 December, pp. 190-199.
19. Okutomi M., Kanade T. A locally adaptive window for signal matching. International Journal of Computer Vision 1992, 7(2):143-162.
20. Olsen L. A new proof of Darboux's theorem. The American Mathematical Monthly 2004, 111(8):713-715.
21. Pan B., Asundi A., Xie H., Gao J. Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements. Optics and Lasers in Engineering 2008, 47(7-8):865-874.
22. Scambos T.A., Dutkiewicz M.J., Wilson J.C., Bindschadler R.A. Application of image cross-correlation to the measurement of glacier velocity using satellite image data. Remote Sensing of Environment 1992, 42(3):177-186.
23. Schenk T. Digital Photogrammetry 1999, TerraScience, Laurelville, Ohio.
24. Scherer, S., Andexer, W., Pinz, A., 1998. Robust adaptive window matching by homogeneity constraint and integration of descriptions. In: Proc. 14th International Conference on Pattern Recognition, Brisbane, Australia, 16-20 August, pp. 777-779.
25. Scherler D., Leprince S., Strecker M.R. Glacier-surface velocities in alpine terrain from optical satellite imagery - accuracy improvement and quality assessment. Remote Sensing of Environment 2008, 112(10):3806-3819.
26. Taylor M.H., Leprince S., Avouac J.P., Sieh K. Detecting co-seismic displacements in glaciated regions: An example from the great November 2002 Denali earthquake using SPOT horizontal offsets. Earth and Planetary Science Letters 2008, 270(3-4):209-220.
27. Thong J.T.L., Sim K.S., Phang J.C.H. Single-image signal-to-noise ratio estimation. Scanning 2001, 23(5):328-336.
28. Vosselman G., Sester M., Mayer H. Basic computer vision techniques. Manual of Photogrammetry 2004, 455-504. American Society of Photogrammetry and Remote Sensing, Bethesda, USA. fifth ed. J.C. McGlone (Ed.).
29. Wangensteen B., Tønsberg O.M., Kääb A., Eiken T., Hagen J.O. Surface elevation change and high resolution surface velocities for advancing outlets of Jostedalsbreen. Geografiska Annaler: Series A, Physical Geography 2006, 88(1):55-74.
30. Willmott C.J., Matsuura K. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate Research 2005, 30(1):79-82.
31. Woodcock C.E., Strahler A.H. The factor of scale in remote sensing. Remote Sensing of Environment 1987, 21(3):311-332.
32. Yihua, X., Dongsheng, W., Tao, F., Heung-Yeung, S., 2002. Stereo computation using radial adaptive windows, 2002. In: Proc. 16th International Conference on Pattern Recognition, Québec City, QC, Canada, 15-15 August, pp. 595-598.
33. Yoon K.-J., Kweon I.S. Adaptive support-weight approach for correspondence search. IEEE Transactions on Pattern Analysis and Machine Intelligence 2006, 28(4):650-656.
34. Zitová B., Flusser J. Image registration methods: a survey. Image and Vision Computing 2003, 21(11):977-1000.
35. Zlobec S. Characterizing zero-derivative points. Journal of Global Optimization 2009, 46(1):155-161.