Interactive hyperspectral image visualization using convex optimization

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 6, 2009, Pages 1673-1684

  Cui, Ming ^a   Razdan, Anshuman ^b   Hu, Jiuxiang ^a,b   Wonka, Peter ^a  

^a Arizona State University   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Hyperspectral image visualization; Linear programming; Perceptual color distances; Principal component analysis (PCA)

Indexed keywords

DISCRIMINABILITY; EXISTING METHOD; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE VISUALIZATION; INTERACTIVE VISUALIZATIONS; NON-LINEAR OPTIMIZATION PROBLEMS; PERCEPTUAL COLOR DISTANCES; PRINCIPAL COMPONENT ANALYSIS (PCA); QUANTITATIVE ANALYSIS; SPECTRAL SIGNATURE; TECHNICAL CONTRIBUTION;

COLOR; CONVEX OPTIMIZATION; DYNAMIC PROGRAMMING; INDEPENDENT COMPONENT ANALYSIS; LINEAR PROGRAMMING; LINEARIZATION; OPTIMIZATION; PIXELS; VISUALIZATION;

PRINCIPAL COMPONENT ANALYSIS;

COLOR; IMAGE PROCESSING; IMAGE RESOLUTION; OPTIMIZATION; PIXEL; PRINCIPAL COMPONENT ANALYSIS; VISUALIZATION;

EID: 67349143233     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.2010129     Document Type: Conference Paper

References (38)

1. MultiSpec. [Online]. Available: http://cobweb.ecn.purdue.edu/ biehl/multispec/description.html
2. ENVI. [Online]. Available: http://www.ittvis.com/envi/
3. Geomatics. [Online]. Available: http://www.pcigeomatics.com/
4. TnTlite. [Online]. Available: http://www.microimages.com/tntlite/
5. HyperCube. [Online]. Available: http://www.tec.army.mil/hypercube/
6. HIAT. [Online]. Available: http://www.censsis.neu.edu/software/ hyperspectral/hyperspectral.html
7. N. Jacobson and M. Gupta, "Design goals and solutions for display of hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2684-2692, Nov. 2005.
8. J. Wang and C.-I Chang, "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1586-1600, Jun. 2006.
9. Y. Zhu, P. K. Varshney, and H. Chen, "Evaluation of ICA based fusion of hyperspectral images for color display," in Proc. 10th Int. Conf. Inf. Fusion, Jul. 9-12, 2007, pp. 1-7.
10. A. A. Gooch, S. C. Olsen, J. Tumblin, and B. Gooch, "Color2gray: Salience-preserving color removal," in Proc. ACM SIGGRAPH, 2005, pp. 634-639.
11. K. Rasche, R. Geist, and J. Westall, "Re-coloring images for gamuts of lower dimension," Comput. Graph. Forum, vol. 24, no. 3, pp. 423-432, Sep. 2005.
12. D. A. Forsyth and J. Ponce, Computer Vision: A Modern Approach. Englewood Cliffs, NJ: Prentice-Hall, 2002.
13. Analyzing Hyperspectral Images With TNTmips, R. Smith, Ed. Lincoln, NE: Microimages, 2006.
14. A. Tyo, A. Konsolakis, D. Diersen, and R. Olsen, "Principal- components-based display strategy for spectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 3, pp. 708-718, Mar. 2003.
15. J. Wang and C. Chang, "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1586-1600, Jun. 2006.
16. Q. Du, N. Raksuntorn, S. Cai, and R. Moorhead, "Color display for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1858-1866, Jun. 2008.
17. S. Cai, Q. Du, and R. Moorhead, "Hyperspectral imagery visualization using double layers," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3028-3036, Oct. 2007.
18. K. Rasche, R. Geist, and J. Westall, "Detail preserving reproduction of color images for monochromats and dichromats," IEEE Comput. Graph. Appl., vol. 25, no. 3, pp. 22-30, May/Jun. 2005.
19. R. Mantiuk, K. Myszkowski, and H.-P. Seidel, "A perceptual framework for contrast processing of high dynamic range images," ACM Trans. Appl. Percept., vol. 3, no. 3, pp. 286-308, Jul. 2006.
20. J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, Dec. 2000.
21. S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
22. M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Comput., vol. 15, no. 6, pp. 1373-1396, Jun. 2003.
23. D. Donoho and C. Grimes, "Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data," in Proc. Nat. Acad. Sci. U.S.A., May 2003, vol. 100, pp. 5591-5596.
24. F. Sha and L. K. Saul, "Analysis and extension of spectral methods for nonlinear dimensionality reduction," in Proc. 22nd ICML, 2005, pp. 784-791.
25. B. Nadler, S. Lafon, R. Coifman, and I. Kevrekidis, "Diffusion maps, spectral clustering and eigenfunctions of Fokker-Planck operators," in Advances in Neural Information Processing Systems, vol. 18, Y. Weiss, B. Schölkopf, and J. Platt, Eds. Cambridge, MA: MIT Press, 2006, pp. 955-962.
26. C. M. Bachmann, T. L. Ainsworth, and R. A. Fusina, "Exploiting manifold geometry in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 441-454, Mar. 2005.
27. T. Han and D. Goodenough, "Investigation of nonlinearity in hyperspectral remotely sensed imagery: A nonlinear time series analysis approach," in Proc. IGARSS, Jul. 2007, pp. 1556-1560.
28. C. M. Bachmann, T. L. Ainsworth, and R. A. Fusina, "Improved manifold coordinate representations of large-scale hyperspectral scenes," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2786-2802, Oct. 2006.
29. P. K. Robertson and J. F. O'Callaghan, "The application of perceptual color spaces to the display of remotely sensed imagery," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 49-59, Jan. 1988.
30. J. Kern and M. Pattichis, "Robust multispectral image registration using mutual-information models," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 5, pp. 1494-1505, May 2007.
31. N. C. Rowe and L. L. Grewe, "Change detection for linear features in aerial photographs using edge-finding," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1608-1612, Jul. 2001.
32. P. Shirley, M. Ashikhmin, M. Gleicher, S. Marschner, E. Reinhard, K. Sung, W. Thompson, and P. Willemsen, Fundamentals of Computer Graphics, 2nd ed. Natick, MA: AK Peters, Ltd., 2005.
33. S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. T. H. Romeny, and J. B. Zimmerman, "Adaptive histogram equalization and its variations," Comput. Vis. Graph. Image Process., vol. 39, no. 3, pp. 355-368, Sep. 1987.
34. R. Fattal, D. Lischinski, and M. Werman, "Gradient domain high dynamic range compression," in Proc. 29th Annu. Conf. Comput. Graph. Interactive Tech. SIGGRAPH, 2002, pp. 249-256.
35. P. Heckbert, "Color image quantization for frame buffer display," ACM SIGGRAPH Comput. Graph., vol. 16, no. 3, pp. 297-307, Jul. 1982.
36. J. A. Hartigan and M. A. Wong, "A k-means clustering algorithm," Appl. Stat., vol. 28, no. 1, pp. 100-108, 1979.
37. T. Cox and M. Cox, Multidimensional Scaling. London, U.K.: Chapman & Hall, 1994.
38. V. de Silva and J. B. Tenenbaum, "Global versus local methods in nonlinear dimensionality reduction," in Proc. NIPS, 2002, pp. 705-712.