Multi-spectro-temporal analysis of hyperspectral imagery based on 3-D spectral modeling and multilinear algebra

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 1, 2013, Pages 199-216

  Hemissi, Selim ^a   Farah, Imed Riadh ^a   Saheb Ettabaa, Karim ^a   Solaiman, Basel ^b  

^a UNIVERSITY OF MANOUBA   (Tunisia)

^b ECOLE DES MINES DE NANTES   (France)

Author keywords

3 D modeling; 3 D spectral library; 3 D spectral matching; Content based information retrieval (CBIR); hyperspectral data; multilinear algebra; time series images interpretation

Indexed keywords

3-D MODELING; CONTENT-BASED INFORMATION RETRIEVAL; HYPERSPECTRAL DATA; IMAGES INTERPRETATION; MULTILINEAR ALGEBRA; SPECTRAL LIBRARIES; SPECTRAL MATCHINGS;

ALGEBRA; DATA PROCESSING; PIXELS; REFLECTION; REMOTE SENSING; SPECTROSCOPY; TIME SERIES ANALYSIS;

THREE DIMENSIONAL;

DATA SET; HYPERION; IMAGE CLASSIFICATION; PIXEL; REMOTE SENSING; SAMPLING; SENSOR; SPECTRAL ANALYSIS; SPECTRAL REFLECTANCE; THREE-DIMENSIONAL MODELING; WAVELENGTH;

TUNISIA;

HYPERION;

EID: 84871752699     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2200486     Document Type: Article

References (50)

1. G. Camps-Valls, L. Gomez-Chova, J. Munoz-Mari, J. Rojo-Alvarez, and M. Martinez-Ramon, "Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1822-1835, Jun. 2008. (Pubitemid 351711220)
2. D. Heinz, C. Davidson, and A. Ben-David, "Temporal-spectral detection in long-wave IR hyperspectral imagery, " IEEE Sensors J., vol. 10, no. 3, pp. 509-517, Mar. 2010.
3. B. Bue, E. Merényi, and B. Csatho, "Automated labeling of materials in hyperspectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4059-4070, Nov. 2010.
4. J. Bolton and P. Gader, "Application of multiple-instance learning for hyperspectral image analysis, " IEEE Geosci. Remote Sens. Lett., vol. 8, no. 5, pp. 889-893, Sep. 2011.
5. S. Conghe, E. Curtis, and L. Xiaowen, "The spectral/temporal manifestation of forest succession in optical imagery: The potential of multitemporal imagery, " Remote Sens. Environ., vol. 82, no. 2/3, pp. 285-302, 2002.
6. J. Zhang, B. Rivard, A. Sanchez-Azofeifa, and K. Castro-Esau, "Intra-and inter-class spectral variability of tropical tree species at La Selva, Costa Rica: Implications for species identification using HYDICE imagery, " Remote Sens. Environ., vol. 105, no. 2, pp. 129-141, Nov. 2006. (Pubitemid 44634590)
7. B. Kuo and C.-H. Li, "Kernel nonparametric weighted feature extraction for classification, " in Proc. AI-Advances in Artificial Intelligence, vol. 3809, Lecture Notes in Computer Science, 2005, pp. 567-576. (Pubitemid 43987184)
8. R. Radke, S. Andra, O. Al-Kofahi, and B. Roysam, "Image change detection algorithms: A systematic survey, " IEEE Trans. Image Process., vol. 14, no. 3, pp. 294-307, Mar. 2005. (Pubitemid 40351907)
9. R. Clark, G. Swayze, R. Wise, E. Livo, T. Hoefen, R. Kokaly, and S. Sutley, "USGS digital spectral library splib06a: U. S. geological survey, " in Digital Data Series 2312007, 2007.
10. P. Keranen, A. Kaarna, and P. Toivanen, "Compression and classification methods for hyperspectral images, " Pattern Recognit. Image Anal., vol. 16, no. 3, pp. 413-424, 2006. (Pubitemid 44411471)
11. M. Eismann, J. Meola, and R. Hardie, "Hyperspectral change detection in the presence of diurnal and seasonal variations, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 1, pp. 237-249, Jan. 2008.
12. C. Woodcock, S. Macomber, M. Pax-Lenney, and W. Cohen, "Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors, " Remote Sens. Environ., vol. 78, no. 1/2, pp. 194-203, Oct. 2001. (Pubitemid 32983988)
13. A. Mathur, L. Bruce, and J. Madsen, "Feature extraction via spectrotemporal analysis of hyperspectral data for vegetative target detection, " in Proc. IEEE Int. Workshop Anal. Multi-Temp. Remote Sens. Images, May 2005, pp. 64-66.
14. F. Melgani, "Classification of multitemporal remote-sensing images by a fuzzy fusion of spectral and spatio-temporal contextual information, " Int. J. Pattern Recognit. Artif. Intell., vol. 18, no. 2, pp. 143-156, Mar. 2004.
15. S. Wang, C. Wang, M. Chang, C. Tsai, and C. Chang, "Applications of Kalman filtering to single hyperspectral signature analysis, " IEEE Sensors J., vol. 10, no. 3, pp. 547-563, Mar. 2010.
16. W. Sakla, A. Chan, J. Ji, and A. Sakla, "An SVDD-based algorithm for target detection in hyperspectral imagery, " IEEE Geosci. Remote Sens. Lett., vol. 8, no. 2, pp. 384-388, Mar. 2011.
17. F. Ratle, G. Camps-Valls, and J. Weston, "Semisupervised neural networks for efficient hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2271-2282, May 2010.
18. F. Hall and G. Badhwar, "Signature-extendable technology: Global spacebased crop recognition, " IEEE Trans. Geosci. Remote Sens., vol. GRS-25, no. 1, pp. 93-103, Jan. 1987. (Pubitemid 17534682)
19. F. Melgani and S. Serpico, "A Markov random field approach to spatiotemporal contextual image classification, " IEEE Trans. Geosci. Remote Sens., vol. 41, no. 11, pp. 2478-2487, Nov. 2003.
20. S. Rajan, J. Ghosh, and M. Crawford, "Exploiting class hierarchies for knowledge transfer in hyperspectral data, " IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3408-3417, Nov. 2006. (Pubitemid 44711682)
21. I. Olthof, C. Butson, and R. Fraser, "Signature extension through space for northern landcover classification: A comparison of radiometric correction methods, " Remote Sens. Environ., vol. 95, no. 3, pp. 290-302, Apr. 2005. (Pubitemid 40406111)
22. G. F. Hughes, "On the mean accuracy of statistical pattern recognizers, " IEEE Trans. Inf. Theory, vol. IT-14, no. 1, pp. 55-63, Jan. 1968.
23. I. Farah, S. Hemissi, K. Ettabaa, and B. Souleiman, "Multi-temporal hyperspectral images unmixing and classification based on 3D signature model and matching, " PIERS Online, vol. 6, no. 5, pp. 480-484, 2010.
24. P. George and F. Hermeline, "Delaunay's mesh of a convex polyhedron in dimension d. application to arbitrary polyhedra, " Int. J. Numer. Methods Eng., vol. 33, no. 5, pp. 975-995, Apr. 1992.
25. H. Edelsbrunner, M. Ablowitz, S. Davis, E. Hinch, A. Iserles, J. Ockendon, and P. Olver, Geometry and Topology for Mesh Generation (Cambridge Monographs on Applied and Computational Mathematics), New York: Cambridge Univ. Press, 2006.
26. B. Semenova, V. Savchenko, and I. Hagiwara, "Two techniques to improve mesh quality and preserve surface characteristics, " in Proc. 13th Int. Meshing Roundtable, 2004, pp. 277-288.
27. S. Przemyslaw, A. Mohsen, and L. Liming, "A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking, " in Proc. Int. Conf. Biometrics, Theory, Appl. Syst., Sep. 2009, pp. 32-37.
28. N. Aspert, D. Santa-Cruz, and T. Ebrahimi, "Mesh: Measuring errors between surfaces using the Hausdorff distance, " in Proc. IEEE Int. Conf. Multimedia Expo., 2002, vol. I, pp. 705-708.
29. R. Harshman, "Foundations of the PARAFAC procedure: Models and conditions for an 'explanatory' multi-modal factor analysis, " UCLA Working Papers Phonetics, vol. 16, no. 1, pp. 1-84, 1970.
30. N. Renard, S. Bourennane, and J. Blanc-Talon, "Denoising and dimensionality reduction using multilinear tools for hyperspectral images, " IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2, pp. 138-142, Apr. 2008.
31. H. Kiers, "An alternating least squares algorithm for PARAFAC2 and three-way DEDICOM, " Comput. Stat. Data Anal., vol. 16, no. 1, pp. 103-118, Jun. 1993.
32. T. Kohonen, M. Schroeder, and T. Huang, Eds., Self-Organizing Maps, 3rd ed. Secaucus, NJ: Springer-Verlag, 2001.
33. K. Sang-Wook, P. Dae-Hyun, and L. Heon-Gil, "Efficient processing of subsequence matching with the euclidean metric in timeseries databases, " Inf. Process. Lett., vol. 90, no. 5, pp. 253-260, Jun. 2004.
34. P. Koikkalainen, "Progress with the tree-structured self-organizing map, " in Proc. 11th ECAI, A. G. Cohn, Ed., 1994, pp. 211-215.
35. D. Vrani, D. Saupe, and J. Richter, "Tools for 3d-object retrieval: Karhunen-Loeve transform and spherical harmonics, " in Proc. IEEE 4th Workshop Multimedia Signal Process., 2001, pp. 293-298.
36. K. Karantzalos and N. Paragios, "Large-scale building reconstruction through information fusion and 3-D priors, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2283-2296, May 2010.
37. J. Sun, M. Ovsjanikov, and L. Guibas, "A concise and provably informative multi-scale signature based on heat diffusion, " in Proc. SGP, 2009, pp. 1383-1392.
38. H. Ling and K. Okada, "An efficient earth mover's distance algorithm for robust histogram comparison, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 5, pp. 840-853, May 2007. (Pubitemid 46534780)
39. E. Ng, M. Lim, T. Maul, and W. Lai, "Investigations into particle swarm optimization for multi-class shape recognition, " in Advances in Neuro-Information Processing, vol. 5507, M. Koppen, N. Kasabov, and G. Coghill, Eds. Berlin, Germany: Springer-Verlag, 2009, ser. Lecture Notes in Computer Science, pp. 599-606.
40. A. Indriyati, K. Wee, and H. Zhiyong, "Feature combination and relevance feedback for 3d model retrieval, " in Proc. MMM, 2005, pp. 334-339.
41. R. Ohbuchi, T. Minamitani, and T. Takei, "Shape-similarity search of 3d models by using enhanced shape functions, " Int. J. Comput. Appl. Technol., vol. 23, no. 2-4, pp. 70-85, 2005. (Pubitemid 40422136)
42. A. Kuusk, J. Kuusk, and M. Lang, "A dataset for the validation of reflectance models, " Remote Sens. Environ., vol. 113, no. 5, pp. 889-892, May 2009.
43. D. Schlpfer, "Modo: An interface to modtran for the simulation of imaging spectrometry at-sensor signals, " in Proc. 10th Annu. JPL Airborne Earth Sci. Workshop, 2001, pp. 343-350.
44. Z. Wang, A. Vodacek, and J. Coen, "Generation of synthetic infrared remote-sensing scenes of wildland fire, " Int. J. Wildland Fire, vol. 18, no. 3, pp. 302-309, May 2008.
45. B. Somers, P. Gregory, L. Tits, and P. Coppin, "Endmember variability in spectral mixture analysis: A review, " Remote Sens. Environ., vol. 115, no. 7, pp. 1603-1616, Jul. 2011.
46. S. Prasad, L. Bruce, and H. Kalluri, "A robust multi-classifier decision fusion framework for hyperspectral, multi-temporal classification, " in Proc. IEEE IGARSS, 2008, vol. 2, pp. II-273-II-276.
47. I. R. Farah, W. Boulila, K. S. Ettabaa, and M. B. Hamed, "Multiapproach system based on fusion of multispectral images for land-cover classification, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 12, pp. 4153-4161, Dec. 2008.
48. C.-I. Chang, "An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis, " IEEE Trans. Inf. Theory, vol. 46, no. 5, pp. 1927-1932, Aug. 2000.
49. H. Li, Y. Wang, Y. Li, and X. Wang, "Pixel-unmixing moderate-resolution remote sensing imagery using pairwise coupling support vector machines: A case study, " IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4298-4307, Nov. 2011.
50. M. Lewis, V. Jooste, and A. de Gasparis, "Discrimination of arid vegetation with airborne multispectral scanner hyperspectral imagery, " IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1471-1479, Jul. 2001. (Pubitemid 32732660)