Toward reduction of artifacts in fused images

International Journal of Applied Earth Observation and Geoinformation

Volumn 13, Issue 3, 2011, Pages 368-375

  Lillo Saavedra, Mario ^a   Gonzalo, Consuelo ^b   Lagos, Octavio ^a  

^a UNIVERSITY OF CONCEPCIÓN   (Chile)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Fractal dimension; Fusion image; Texture; Wavelet transform

Indexed keywords

ALGORITHM; ARTIFACT; FRACTAL ANALYSIS; IKONOS; IMAGE ANALYSIS; MEASUREMENT METHOD; MULTISPECTRAL IMAGE; SATELLITE IMAGERY; SPATIAL RESOLUTION; TRANSFORM; WAVELET ANALYSIS;

EID: 79955588810     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2011.01.001     Document Type: Article

References (48)

1. Alonso, M.C., Sanz, M.A., Malpica, J.A., 2007. Classification of high resolution satellite images using texture from the panchromatic band. In: Advances in Visual Computing, vol. 4842, pp. 499-508.
2. Alparone, L., Baronti, S., Garzelli, A., Nencini, F., 2004. A global quality measurement of pan-sharpened multispectral imagery. IEEE Transaction on Geosciences Remote Sensing Letter 1 (4), 313-317.
3. Arduini, F., Fioravanti, S., Giusto, D.D., 1991. A multifractal-based approach to natural scene analysis. In: ICASSP, vol. 1-5, pp. 2681-2684.
4. Bruzzone, L., Carlin, L., 2006. A multilevel context-based system for classification of very high spatial resolution images. IEEE Transaction on Geosciences Remote Sensing 44 (9), 2587-2600.
5. Candes, E., Donoho, D., 1999. Ridgelets: A key to higher-dimensional intermittency? Candes, E., Donoho, D., 2000. Curvelets - a surprisingly effective nonadaptive representation for objects with edges.
6. Chavez, P., Stuart, J., Sides, C., Anderson, J., 1991. Comparision of three different methods to merge multiresolution and multispectral data: landsat tm and spot pancromatic. Photogrammetric Engineering & Remote Sensing 57 (3), 259-303.
7. Choi, M., 2006. A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter. IEEE Transaction on Geosciences Remote Sensing 44 (6), 1672-1682.
8. Conci, A., Nunes, T.D., 2001. A multi-bands image analysis using local fractal dimension. In: XIV Brazilian Symposium on Computer Graphics and Image Processing, vol. 1, pp. 91-98.
9. Do, M., Vetterli, M., 2001. Pyramidal directional filter banks and curvelets. In: ICIP01, pp. 158-161.
10. Do, M., Vetterli, M., 2005. The contourlet transform: an efficient directional multiresolution image representation. IEEE Transactions on Image Processing 14 (12), 2091-2106.
11. Falconer, K., 1990. Fractal Geometry: Mathematical Foundations and Applications. John Wiley & Sons, Chichester, England.
12. Garzelli, A., Nencini, F., Alparone, L., Aiazzi, B., Baronti, S., 2004. Pan-sharpening of multispectral images: a critical review and comparison. In: IGARSS, pp. 81-84.
13. Gonzalez-Audicana, M., Otazu, X., Fors, O., Seco, A., 2005. Comparison between mallat's and the à trous discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images. International Journal of Remote Sensing 23 (6), 595-614.
14. Gonzalo, C., Lillo-Saavedra, M., 2008. A directed search algorithm for setting the spectral-spatial quality trade-off of fused images by the wavelet à trous method. Canadian Journal of Remote Sensing 34 (4), 367-375.
15. Gonzalo, C., Lillo-Saavedra, M., Zambrano, F., Merino, F., 2008. Fusion ihs ponderada mediante dimensión fractal. In: XIII Simposio de Especialistas Latinoamericanos en Percepción Remota (SELPER).
16. Grazzini, J., Turie, A., Yahia, H., 2005. Presegmentation of high-resolution satellite images with a multifractal reconstruction scheme based on an entropy criterium. In: Image Processing, vol. 1, pp. 649-652.
17. Hallada, W., Cox, S., 1983. Image sharpening for mixes spatial and spectral resolution satellite system. In: International Symposium on Remote Sensing of Environment, pp. 1023-1032.
18. Huang, X., Zhang, L., Li, P., 2008. A multiscale feature fusion approach for classification of very high resolution satellite imagery based on wavelet transform. International Journal of Remote Sensing 29 (20), 5923-5941.
19. Huiping, H., Bingfang, W., Jinlong, F., 2003. Analysis to the relationship of classification accuracy, segmentation scale, image resolution. In: IGARSS, vol. 6, pp. 3671-3673.
20. Karathanassi, V., Kolokusis, P., Ioannidou, S., 2007. A comparison study on fusion methods using evaluation indicators. International Journal of Remote Sensing 28 (10), 2309-2341.
21. Kruse, F., Lefkoff, A., Boardman, J., Heidebrecht, K., Shapiro, A., Barloon, P., Goetz, A., 1993. Interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment 44 (2), 145-163.
22. Li, J., Feng, Q., Guo, Q., 2008. Fractal Study of Sustainable Proportions of Natural and Artificial Oases, vol. 55. Springer, Berlin/Heidelberg, Chapter 7, pp. 1389-1396.
23. Li, S., Yang, B., Hu, J., 2010. Performance comparison of different multi-resolution transforms for image fusion. Information Fusion 12 (2), 74-84.
24. Lillo-Saavedra, M., Gonzalo, C., 2006. Spectral or spatial quality for fused satellite imagery? A trade-off solution using the wavelet à trous algorithm. International Journal of Remote Sensing 27 (7), 1453-1464.
25. Lillo-Saavedra, M., Gonzalo, C., 2007. Multispectral images fusion by a joint multidirectional and multiresolution representation. International Journal of Remote Sensing 28 (18), 4065-4079.
26. Mallat, S.G., 1989. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 2 (7).
27. Mandelbrot, B., Maione, B., 1982. The Fractal Geometry of Nature. W.H. Freman and Company, New York.
28. Mitchell, H.B., 2010. Image Fusion: Theories. Techniques and Applications, 1st edition. Springer Verlag, Berlin Hidelberg.
29. Myint, S.W., 2003. Fractal approaches in texture analysis and classification of remotely sensed data: comparisons with spatial autocorrelation techniques and simple descriptive statistics. International Journal of Remote Sensing 24 (9), 1925-1947.
30. Nencini, F., Garzelli, A., Baronti, S., Alparone, L., 2007. Remote sensing image fusion using the curvelet transform. Information Fusion 8 (2), 143-156, special Issue on Image Fusion: Advances in the State of the Art.
31. Parrinello, T., Vaughan, R.A., 2002. Multifractal analysis and feature extraction in satellite imagery. International Journal of Remote Sensing 23 (9), 1799-1825.
32. Parrinello, T., Vaughan, R.A., 2006. On comparing multifractal and classical features in minimum distance classification of AVHRR imagery. International Journal of Remote Sensing 27 (18), 3943-3959.
33. Pentland, A.P., 1984. Fractal-based description of natural scenes. IEEE Transaction Pattern Analysis and Machine Intelligence 6 (6), 661-674.
34. Pohl, C., Van Genderen, J., 1998. Multisensor image fusion in remote sensing: concepts, methods and applications. International Journal of Remote Sensing 19 (5), 823-854.
35. Qu, X.-B., Yan, J.-W., Xiao, H.-Z., Zhu, Z.-Q., 2008. Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain. Acta Automatica Sinica 34 (12), 1508-1514.
36. Sun, W., 2006. Three new implementations of the triangular prism method for computing the fractal dimension of remote sensing images. Photogrammetric Engineering & Remote Sensing 72 (4), 373-382.
37. Sun, W., Xu, G., Gong, P., Liang, S., 2006. Fractal analysis of remotely sensed images: a review of methods and applications. International Journal of Remote Sensing 27 (22), 4963-4990.
38. Toet, A., Hogervorst, M., Nikolov, S., Lewis, J., Dixon, T., Bull, D., Canagarajah, C., 2010. Towards cognitive image fusion. Information Fusion 11 (2), 95-113.
39. Tu, T., Huang, P.S., Hung, C., Chang, C., 2004. A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery. IEEE Transactions on Geoscience and Remote Sensing Letter 1 (4), 309-312.
40. Tu, T., Su, S., Shyu, H., Huang, P., 2001. A new look at IHS-like image fusion methods. Information Fusion 2, 177-186.
41. Vijayaraj, V., O'Hara, C.G., Younan, N.H., 2004. Quality analysis of pansharpened images. In: IGARSS, vol. 1, pp. 85-88.
42. Wald, L., 2002. Data Fusion: Definitions and Architectures: Fusion of Images of Different Spatial Resolutions. Les Presses - Mines Paris.
43. Wang, Z., Bovik, A.C., 2002. A universal image quality index. IEEE Signal Processing Letter 9 (3), 81-84.
44. Wang, Z., Bovik, A.C., Sheikh, H.R., Member, S., Simoncelli, E.P., 2004. Image quality assessment: from error measurement to structural similarity. IEEE Transactions on Image Processing 13, 600-612.
45. Yang, S., Wang, M., Jiao, L., Wu, R., Wang, Z., 2009. Image fusion based on a new contourlet packet. Information Fusion 11 (2), 78-84.
46. Zhang, Q., Guo, B., 2009. Multifocus image fusion using the nonsubsampled contourlet transform. Signal Processing 89 (7), 1334-1346.
47. Zhou, J., Civco, D.L., Silander, J.A., 1998. A wavelet transform method to merge landsat TM and SPOT panchromatic data. International Journal of Remote Sensing 19 (March (4)), 743-757.
48. Zribi, M., 2010. Non-parametric and region-based image fusion with bootstrap sampling. Information Fusion 11 (2), 85-94.