Bi-cubic interpolation for shift-free pan-sharpening

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 86, Issue , 2013, Pages 65-76

  Aiazzi, Bruno ^a   Baronti, Stefano ^a   Selva, Massimo ^a   Alparone, Luciano ^a,b  

^a IFAC CNR   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Digital filtering; Interpolation; Linear phase; MS scanners; Pan sharpening; Piecewise local polynomials

Indexed keywords

INTERPOLATION; OPTICAL TRANSFER FUNCTION; POLYNOMIALS;

DIGITAL FILTERING; LINEAR PHASE; LOCAL POLYNOMIALS; MS SCANNERS; PAN-SHARPENING;

PIXELS;

EID: 84885165459     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.09.007     Document Type: Article

References (40)

1. Aiazzi, B., Alparone, L., Baronti, S., Carlà, R., 1998. Assessment of pyramid-based multisensor image data fusion. In: Serpico, S.B. (Ed.), Image and Signal Processing for Remote Sensing IV. Vol. 3500 of Proc. SPIE, EUROPTO Series, pp. 237-248.
2. Aiazzi, B., Alparone, L., Argenti, F., Baronti, S., 1999a. Wavelet and pyramid techniques for multisensor data fusion: a performance comparison varying with scale ratios. In: Serpico, S.B. (Ed.), Image and Signal Processing for Remote Sensing V. Vol. 3871 of Proc. SPIE, EUROPTO Series, pp. 251-262.
3. Aiazzi, B., Alparone, L., Barducci, A., Baronti, S., Pippi, I., 1999b. Multispectral fusion of multisensor image data by the generalized Laplacian pyramid. In: Proc. IEEE Int. Geoscience And Remote Sensing Symposium, pp. 1183-1185.
4. Aiazzi B., Alparone L., Baronti S., Garzelli A. Context-driven fusion of high spatial and spectral resolution data based on oversampled multiresolution analysis. IEEE Trans. Geosci. Remote Sens. 2002, 40(10):2300-2312.
5. Aiazzi, B., Alparone, L., Baronti, S., Garzelli, A., Selva, M., 2003. An MTF-based spectral distortion minimizing model for Pan-sharpening of very high resolution multispectral images of urban areas. In: Proc. URBAN 2003: 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, pp. 90-94.
6. Aiazzi B., Alparone L., Baronti S., Garzelli A., Selva M. MTF-tailored multiscale fusion of high-resolution MS and Pan imagery. Photogramm. Eng. Remote Sens. 2006, 72(5):591-596.
7. Aiazzi B., Baronti S., Selva M. Improving component substitution pansharpening through multivariate regression of MS+Pan data. IEEE Trans. Geosci. Remote Sens. 2007, 45(10):3230-3239.
8. Aiazzi B., Baronti S., Lotti F., Selva M. A comparison between global and context-adaptive pansharpening of multispectral images. IEEE Geosci. Remote Sens. Lett. 2009, 6(2):302-306.
9. Alparone L., Baronti S., Garzelli A., Nencini F. A global quality measurement of pan-sharpened multispectral imagery. IEEE Geosci. Remote Sens. Lett. 2004, 1(4):313-317.
10. Alparone L., Wald L., Chanussot J., Thomas C., Gamba P., Bruce L.M. Comparison of pansharpening algorithms: outcome of the 2006 GRS-S data fusion contest. IEEE Trans. Geosci. Remote Sens. 2007, 45:3012-3021.
11. Alparone L., Aiazzi B., Baronti S., Garzelli A., Nencini F., Selva M. Multispectral and panchromatic data fusion assessment without reference. Photogramm. Eng. Remote Sens. 2008, 74:193-200.
12. Baronti S., Aiazzi B., Selva M., Garzelli A., Alparone L. A theoretical analysis of the effects of aliasing and misregistration on pansharpened imagery. IEEE J. Sel. Top. Signal Process. 2011, 5(3):446-453.
13. Catmull E., Rom R. A class of local interpolating splines. Computer Aided Geometric Design. 1974, 317-326. Academic, New York. R.E. Barnhill, R.F. Riesenfeld (Eds.).
14. Chavez P.S., Sides S.C., Anderson J.A. Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic. Photogramm. Eng. Remote Sens. 1991, 57(3):295-303.
15. Crochiere R.E., Rabiner L.R. Interpolation and decimation of digital signals - a tutorial review. Proc. IEEE 1981, 69(3):300-331.
16. Dodgson, N.A., 1992. Image Resampling. Tech. Rep. 261, Comput. Lab., Univ. Cambridge, Cambridge, UK.
17. Dodgson N.A. Quadratic interpolation for image resampling. IEEE Trans. Image Process. 1997, 6(9):1322-1326.
18. Ehlers M. Multisensor image fusion techniques in remote sensing. ISPRS J. Photogramm. Remote Sens. 1991, 46(1):19-30.
19. Fiume E.L. The Mathematical Structure of Raster Graphics 1989, Academic Press, San Diego, CA. first ed.
20. Khan M.M., Chanussot J., Condat L., Montanvert A. Indusion: Fusion of multispectral and panchromatic images using the induction scaling technique. IEEE Geosci. Remote Sens. Lett. 2008, 5(1):98-9898.
21. Khan M.M., Alparone L., Chanussot J. Pansharpening quality assessment using the modulation transfer functions of instruments. IEEE Trans. Geosci. Remote Sens. 2009, 47(11):3880-3891.
22. Laporterie-Déjean F., de Boissezon H., Flouzat G., Lefèvre-Fonollosa M.-J. Thematic and statistical evaluations of five panchromatic/multispectral fusion methods on simulated PLEIADES-HR images. Inform. Fusion 2005, 6(3):193-212.
23. Ling Y., Ehlers M., Usery E.L., Madden M. FFT-enhanced IHS transform method for fusing high-resolution satellite images. ISPRS J. Photogramm. Remote Sens. 2007, 61(6):381-392.
24. Maeland E. On the comparison of the interpolation methods. IEEE Trans. Med. Imaging 1988, 7(3):213-217.
25. Meyer R.A., Burrus C.S. Unified analysis of multirate and periodically time-varying digital filters. IEEE Trans. Circ. Syst. 1975, CAS-22(3):162-168.
26. Mitchell D.P., Netravali A.N. Reconstruction filters in computer graphics. ACM SIGGRAPH Comput. Graph. Newslett. 1988, 22(4):221-228.
27. Núñez J., Otazu X., Fors O., Prades A., Palà V., Arbiol R. Multiresolution-based image fusion with additive wavelet decomposition. IEEE Trans. Geosci. Remote Sens. 1999, 37(3):1204-1211.
28. Oppenheim A.V., Schafer R.W. Discrete-Time Signal Processing 1989, Prentice Hall, Englewood Cliffs, NJ.
29. Otazu X., Gonzáles Audícana M., Fors O., Núñez J. Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods. IEEE Trans. Geosci. Remote Sens. 2005, 43(10):2376-2385.
30. Pajares G., de la Cruz J.M. A wavelet-based image fusion tutorial. Pattern Recogn. 2004, 37:1855-1872.
31. Park S.K., Schowengerdt R.A. Image reconstruction by parametric cubic convolution. Comput. Vis., Graph. Image Process. 1983, 23:258-272.
32. Parker J.A., Kenyon R.V., Troxel D.E. Comparison of interpolation methods for image resampling. IEEE Trans. Med. Imaging 1983, MI-2(1):31-39.
33. Ranchin T., Aiazzi B., Alparone L., Baronti S., Wald L. Image fusion - the ARSIS concept and some successful implementation schemes. ISPRS J. Photogramm. Remote Sens. 2003, 58(1-2):4-18.
34. Schafer R.W., Rabiner L.R. A digital signal processing approach to interpolation. Proc. IEEE 1973, 61:692-702.
35. Shi J., Reichenbach S.E. Image interpolation by two-dimensional parametric cubic convolution. IEEE Trans. Image Process. 2006, 15(7):1857-1870.
36. Thomas C., Ranchin T., Wald L., Chanussot J. Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics. IEEE Trans. Geosci. Remote Sens. 2008, 46(5):1301-1312.
37. Wald, L., 2002. Data Fusion: Definitions and Architectures. Fusion of Images of Different Spatial Resolutions. Presses de l'Ecole, MINES ParisTech., Paris, France.
38. Wang Z., Bovik A.C. A universal image quality index. IEEE Signal Process. Lett. 2002, 9(3):81-84.
39. Wolberg G. Digital Image Warping 1990, IEEE Comput. Soc. Press, Los Alamitos, CA.
40. Zhou J., Civco D.L., Silander J.A. A wavelet transform method to merge Landsat TM and SPOT panchromatic data. Int. J. Remote Sens. 1998, 19(4):743-757.