Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

Eurasip Journal on Advances in Signal Processing

Volumn 2012, Issue 1, 2012, Pages

  Licciardi, Giorgio Antonino ^a   Khan, Muhammad Murtaza ^b   Chanussot, Jocelyn ^a   Montanvert, Annick ^a   Condat, Laurent ^a   Jutten, Christian ^a  

^a UNIV GRENOBLE ALPES   (France)

^b NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LOADS; DIMENSIONAL SPACES; DIMENSIONALITY REDUCTION; HIGH RESOLUTION; PANCHROMATIC (PAN) IMAGE; PANCHROMATIC IMAGES; SPATIAL QUALITY; SPATIAL RESOLUTION;

PRINCIPAL COMPONENT ANALYSIS;

IMAGE FUSION;

EID: 84887065348     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1186/1687-6180-2012-207     Document Type: Article

References (32)

1. Wald L: Data Fusion. Definitions and Architectures - Fusion of Images of Different Spatial Resolutions. Presses de l'Ecole, Ecole des Mines de Paris, Paris, France,; 2002.
2. Palsson F, Sveinsson JR, Benediktsson J, Aanaes H: Classification of Pansharpened Urban Satellite Images. IEEE J. Sel. Topics Appl. Earth Observations and Remote Sens 2012, 5:281-297.
3. Eismann MT, Hardie RC: Hyperspectral resolution enhancement using high resolution multispectral imagery with arbitrary response function. IEEE Trans. Geosci. Remote Sens 2005.,43(3)
4. Chavez PS, Sides SC, Anderson JA: Comparison of three different methods to merge multiresolution and multispectral data: landsat TM and SPOT panchromatic. Photogram. Eng. Remote Sens. 1991,57(3):295-303.
5. Serpico B, D'Inca M, Melgani F, Moser G: Comparison of feature reduction techniques for classification of hyperspectral remote sensing data universal image quality index. Proc. SPIE Image Signal Process Remote Sens 2003,4885(8):347-358.
6. Lee C, Landgrebe DA: Feature extraction based on decision boundaries. IEEE Trans. Pattern Anal. Mach. Intell 1993,15(4):388-400.
7. Mitra P, Murthy CA, Pal SK: Unsupervised feature selection using feature similarity. IEEE Trans. Pattern Anal. Mach. Intell 2002,24(3):301-312. (Pubitemid 35289348)
8. Plaza A, Martinez P, Plaza J, Perez R: Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations. IEEE Trans. Geosci. Remote Sens 2005,43(3):466-479. (Pubitemid 40320269)
9. He Y, Du Q, Chen G: Unsupervised Hyperspectral Band Selection Using Graphics Processing Units. IEEE J. Selected Topics in Appl. Earth Observations and Remote Sens 2011, 4:660-668.
10. Sen J, Zhen J, Yuntao Q, Linlin S: Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal. IEEE J. Selected Topics Appl. Earth Observations and Remote Sens 2012, 5:531-543.
11. Chein-I C, Su W, Keng-Hao L, Mann-Li C, Chinsu L: Progressive Band Dimensionality Expansion and Reduction Via Band Prioritization for Hyperspectral Imagery. IEEE J. Selected Topics Appl. Earth Observations and Remote Sens 2011, 4:591-614.
12. Jutten C, Herault J: Blind separation of sources, part I: an adaptive algorithm based on neuromimetic architecture. Signal Process 1991, 24:1-10. (Pubitemid 21679270)
13. Green AA, Berman M, Switze RP, Craig MD: A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Trans. Geosci. Remote Sens 1988, 26:65-74. (Pubitemid 18596008)
14. Fauvel M, Chanussot J, Benediktsson JA: Kernel principal component analysis for the classification of hyperspectral remote sensing data over urban areas. EURASIP J. Adv. Signal Process 2009, 2009:1-14.
15. Licciardi G, Marpu PR, Chanussot J, Benediktsson JA: Linear versus nonlinear PCA for the classification of hyperspectral data based on the extended morphological profiles. IEEE Geosci. Remote Sens. Lett 2012, 9:447-451.
16. Kramer MA: Nonlinear principal component analysis using autoassociative neural networks. AIChE J 1991, 37:233-243.
17. Bishop C: Neural Networks for Pattern Recognition. Oxford University Press, London; 1995.
18. Scholz M, Kaplan F, Guy L, Kopka J, Selbig J: Non-linear PCA: a missing data approach. Bioinformatics 2005, 21:3887-3895. (Pubitemid 41535504)
19. Licciardi G, Frate FD: Pixel unmixing in hyperspectral data by means of neural networks. IEEE Trans. Geosci. Remote Sens 2011, 49:4163-4172.
20. Nunez J, Otazu X, Fors O, Prades A, Pala V, Arbiol R: Multiresolution-based image fusion with additive wavelet decomposition. Trans. Geosci. Remote Sens 1999,37(3):1204-1211.
21. Ranchin T, Wald L: Fusion of high spatial and spectral resolution images: the ARSIS concept and its implementation. Photogramm. Eng. Remote Sens 2000, 66:49-61. (Pubitemid 30031389)
22. Aiazzi B, Alparone L, Baronti S, Garzelli A: Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis. IEEE Trans. Geosci. Remote Sens 2002, 40:2300-2312.
23. Tu TM, Huang PS, Hung CL, Chang CP: A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery. IEEE Geosci. Remote Sens. Lett 2004,1(4):309-312.
24. Alparone L, Wald L, Chanussot J, Thomas C, Gamba P, Bruce LM: Comparison of pansharpening algorithms: Outcome of the 2006 GRS-S data fusion contest. IEEE Trans. Geosci. Remote Sens 2007,45(10):3012-3021.
25. 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 Geoscience and Remote Sens 2008, 46:1301-1312.
26. Khan MM, Chanussot J, Condat L, Montanvert A: Indusion: fusion of multispectral and panchromatic images using the induction scaling technique. IEEE Geosci. Remote Sens. Lett 2008, 5:98-102.
27. Condat L, Montanvert A: A framework for image magnification: induction revisited. ICASSP 2005. pp. 845-848
28. Cohen A, Daubechies I, Feauveau JC: Biorthogonal bases of compactly supported wavelets. Commun. Pure Appl. Math 1992,45(5):485-560.
29. Wang Z, Boviki AC: A universal image quality index. IEEE Signal Process. Lett 2002,9(3):81-84. (Pubitemid 34554870)
30. Mayer B, Kylling A: Technical note: the libRadtran software package for radiative transfer calculations - description and example of use. Atmos. Chem. Phys 2005, 5:1855-1877. (Pubitemid 41264072)
31. Villa A, Chanussot J, Benediktsson J, Jutten C: Spectral unmixing for the classification of hyperspectral images at a finer spatial resolution. IEEE J. Sel. Top. Signal Process 2011,5(3):521-533.
32. Datt B, McVicar TR, Van Niel TG, Jupp DLB, Pearlman JS: Preprocessing EO-1 hyperion hyperspectral data to support the application of agricultural indexes. IEEE Trans. Geosci. Remote Sens 2003,41(6):1246-1259.