Spatial sub-sampling using local endmembers for adapting OSP and SSEE for large-scale hyperspectral surveys

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 1, 2012, Pages 183-195

  Rogge, Derek ^a   Bachmann, Martin ^a   Rivard, Benoit ^b   Feng, Jilu ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Endmember extraction; hyperspectral imaging; spatial and spectral processing

Indexed keywords

ADAPTED METHODS; COMPUTATIONAL COSTS; COMPUTATIONAL TIME; DATA QUALITY; DATA SETS; ENDMEMBER EXTRACTION; ENDMEMBERS; FULL VOLUME; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGING; HYPERSPECTRAL SENSORS; LARGE DATASETS; NATURAL MATERIALS; ORTHOGONAL SUBSPACE PROJECTION; PROCESSING CHAIN; SMALL DATA SET; SPECTRAL PROCESSING; SUB-SAMPLING;

ALGORITHMS; DATA FUSION;

SURVEYS;

AIRBORNE SENSOR; ALGORITHM; DATA QUALITY; DATA SET; IMAGE ANALYSIS; SATELLITE SENSOR; SPATIAL ANALYSIS; SPECTRAL ANALYSIS;

EID: 84863416285     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2011.2168513     Document Type: Article

References (45)

1. A. F. H.Goetz,G.Vane, J.E.Solomon, andB. N. Rock, "Imaging spectrometry for earth remote sensing," Science, vol. 228, pp. 1147-1153, 1985.
2. J. A. Benediktsson, J. A. Palmason, and J. R. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 42, pp. 480-491, 2005. (Pubitemid 40320270)
3. D. Haboudane, J. R. Miller, E. Pattey, P. J. Zaro-Tejada, and I. B. Strachen, "Hyperspectral vegetation indices and novel algorithms for prediction green LAI of crop canopies: Modeling and validation in the context of precision agriculture," Remote Sens. Environ., vol. 90, pp. 337-352, 2004. (Pubitemid 38431251)
4. J. Zhang, B. Rivard, A. Sanchez-Azofeifa, and K. Castro-Easu, "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, pp. 129-141, 2006. (Pubitemid 44634590)
5. D. Rogge, B. Rivard, J. Harris, and J. Zhang, "Application of hyperspectral data for remote predictive mapping, Baffin Island, Canada," in Reviews in Economic Geology: Remote Sensing and Spectral Geology, R. Bedell, A. P. Crosta, and E. Grunsky, Eds. : , 2009, vol. 44, pp. 3725-3736.
6. J. Pearlman, S. Carman, C. Segal, P. Jarecke, P. Clancy, and W. Browne, "Overview of the hyperion imaging spectrometer for the NASA EO-1 mission," in Proc. IGARSS, Sydney, Austrailia, 2001, vol. 7, pp. 3036-3038. (Pubitemid 34221872)
7. T. Stuffler, C. Kaufmann, S. Hofer, K. P. Forster, G. Schreier, A. Mueller, A. Eckardt, H. Bach, B. Penne, U. Benz, and R. Haydn, "The EnMap hyperspectral imager-An advanced optical payload for future applications in earth observation programmes," Acta Astronautica, vol. 61, no. 1-6, pp. 115-120, 2007. (Pubitemid 46735961)
8. M. Bachmann, M. Habermeyer, S. Holzwarth, R. Richter, and A. Müller, "Including quality measures in an automated processing chain for airborne hyperspectral data," in Proc. 5th EARSeL Workshop on Imaging Spectroscopy, Bruges, Belgium, 2007.
9. R.Müller,M. Bachmann, A.Miguel, A.Müller, A. Neumann, G. Palubinskas, R. Richter, M. Schneider, T. Storch, T.Walzel, H. Kaufmann, L. Guanter, K. Segl, T. Heege, and V. Kiselev, "The processing chain and Cal/Val operations of the future hyperspectral satellite mission EnMAP," in Proc. IEEE Aerospace Conf., Big Sky, Montana, USA, Mar. 6-13, 2010, pp. 1-9.
10. A. Plaza, J. A. Benediktsson, J.W. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, M. Fauvel, P. Gamba, A. Gualtieri, M. Marconcini, J. C. Tilton, and G. Trianni, "Recent advances in techniques for hyperspectral image processing," Remote Sens. Environ., vol. 113, pp. S110-S122, 2009.
11. C. A. Lee, S. D. Gasster, A. Plaza, C.-I. Chang, and B. Huang, "Recent developments in high performance computing for remote sensing: A review," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS), vol. 4, pp. 508-527, 2011.
12. A. Paz and A. Plaza, "Cluster versus GPU implementation of an orthogonal target detection algorithm for remotely sensed hyperspectral images," in IEEE Int. Conf. Cluster Computing, Heraklion, Crete, Sep. 20-24, 2010, pp. 227-234.
13. J. J. Settle and N. A. Drake, "Linear mixing and the estimation of ground cover proportions," Int. J. Remote Sens., vol. 14, no. 6, pp. 1159-1177, 1993. (Pubitemid 23384230)
14. J. B. Adams, M. O. Smith, and P. E. Johnson, "Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site," J. Geophys. Res., vol. 91, no. B8, pp. 8098-8112, Jul. 1986.
15. J. B. Adams,M. O. Smith, and A. R. Gillespie, "Imaging spectroscopy: Interpretation based on spectral mixture analysis," in Remote Geochemical Analysis: Elemental and Mineralogical Composition, C.M. Pieters and P. A. Englert, Eds. Cambridge, U.K.: Cambridge Univ. Press, 1993, pp. 145-166.
16. R. O. Green, M. L. Eastwood, C. M. Sarture, T. G. Chrien,M. Aronsson, and B. J. Chippendale, "Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (AVIRIS)," Remote Sens. Environ., vol. 65, pp. 227-248, 1998. (Pubitemid 29360700)
17. D. A. Landgrebe, Single Theory Methods in Multispectral Remote Sensing. Hoboken, NJ: Wiley, 2003.
18. J.W. Boardman, "Automating spectral unmixing of AVIRIS data using convex geometry concepts," in Summaries 4th Annual JPL Airborne GeoscienceWorkshop, JPL Publication 93-26, 1993, vol. 1, pp. 11-14.
19. J. W. Boardman, F. A. Kruse, and R. O. Green, "Mapping target signatures via partial unmixing of AVIRIS data," in Summaries, 5th JPL Airborne Earth Science Workshop, JPL Publication 95-1, 1995, vol. 1, pp. 23-26.
20. J. C. Harsanyi and C.-I. Chang, "Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach," IEEE Trans. Geosci. Remote Sens., vol. 32, pp. 779-785, 1994.
21. M. E.Winter, "Fast autonomous spectral endmember determination in hyperspectral data," in Proc. 13th Int. Conf. Applied Geologic Remote Sensing, Vancouver, B.C., Canada, 1999, pp. 337-344.
22. J. Bowles, P. J. Palmadesso, J. A. Antoniades,M.M. Baumback, and L. J. Rickard, "Use of filter vectors in hyperspectral data analysis," in Proc. SPIE Infrared Spaceborne Remote Sensing, 1995, vol. 3, pp. 148-157.
23. R. A. Neville, K. Staenz, T. Szeredi, J. Lefebvre, and P. Hauff, "Automatic endmember extraction from hyperspectral data for mineral exploration," in 4th Int. Airborne Remote Sensing Conf. Exhibition/21st Canadian Symp. Remote Sensing, Ottawa, Ontario, Canada, Jun. 21-24, 1999, pp. 21-24.
24. A. Plaza, P. Martinez, R. Perez, and J. Plaza, "Spatial/spectral endmember extraction by multidimensional morphological operations," IEEE Trans. Geosci. Remote Sens., vol. 40, pp. 2025-2041, 2002. (Pubitemid 35458399)
25. J. M. P. Nascimento and J. M. B. Dias, "Vertex component analysis: A fast algorithm to unmix hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, pp. 898-910, 2005. (Pubitemid 40476033)
26. D. Rogge, B. Rivard, J. Zhang, A. Sanchez, J. Harris, and J. Feng, "Integration of spatial-spectral information for the improved extraction of endmembers," Remote Sens. Environ., vol. 110, pp. 287-303, 2007. (Pubitemid 47285207)
27. J. Zhang, B. Rivard, and D. M. Rogge, "The successive projection algorithm (SPA), an algorithm with a spatial constraint for the automatic search of endmembers in hyperspectral data," Sensors, vol. 8, pp. 1321-1342, 2008.
28. M. Shaohui, M. He, Z. Wang, and D. Feng, "Spatial purity based endmember extraction for spectral mixture analysis," IEEE Trans. Geosci. Remote Sens., vol. 48, pp. 3434-3445, 2010.
29. G. Martin and A. Plaza, "Region-Based spatial preprocessing for endmember extraction and spectral unmixing," IEEEGeosci. Remote Sens. Lett., vol. 8, pp. 745-749, 2011.
30. J. C. Price, "How unique are spectral signatures?," Remote Sens. Environ., vol. 49, pp. 181-186, 1994.
31. N. Keshava and J. F. Mustard, "Spectral unmixing," IEEE Signal Process. Mag., vol. 19, pp. 44-57, 2002. (Pubitemid 34237207)
32. C. I. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 42, pp. 608-619, 2004.
33. D. W. Messinger, A. Ziemann, B. Basener, and A. Schlamm, "Spectral image complexity estimated through local convex hull volume," in IEEE Proc. 2nd WHISPERS Workshop, Reykjavik, Iceland, Jun. 14-16, 2010, pp. 1-4.
34. G. Healey and D. Slater, "Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions," IEEE Trans. Geosci. Remote Sens., vol. 37, pp. 2706-2717, 1999. (Pubitemid 30519603)
35. B. Thai, G. Healey, and D. Slater, "Invariant subpixel material identification in AVIRIS imagery," in Proc. JPL AVIRIS Workshop, JPL Publication 99-17, Pasadena, CA, Feb. 1999.
36. C.-I. Chang and T.-L. Su, "A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 37, pp. 2631-2641, 1999. (Pubitemid 30519596)
37. N. Keshava, "Distance metrics and band selection in hyperspectral processing with application to material identification and spectral libraries," IEEE Trans. Geosci. Remote Sens., vol. 42, pp. 1552-1565, 2004.
38. B. Guo, S. R. Gunn, R. I. Damper, and J. D. B. Nelson, "Band selection for hyperspectral image classification usingmutual information," IEEE Geosci. Remote Sens. Lett., vol. 3, pp. 522-526, 2006. (Pubitemid 44679664)
39. W. Xiong, C.-I. Chang, C.-C.Wu, K. Kalpakis, and H. M. Chen, "Fast algorithms to implement N-FINDR for hyperspectral endmember extraction," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS), vol. 4, pp. 545-564, 2011.
40. D. C. Heinz and C.-I. Chang, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, pp. 529-545, 2001. (Pubitemid 32400422)
41. G. A. Swayze, R. N. Clark, S. Sutley, and A. Gallagher, "Groundtruthing AVIRIS mineral mapping at Cuprite, Nevada," in Summaries 3rd Annual JPL Airborne Geosciences Workshop. AVIRIS Workshop, JPL Publication 192-14, Pasadena, CA, 1992, vol. 1, pp. 47-49.
42. R. N. Clark, G. A. Swayze, K. E. Livo, R. F. Kokaly, S. J. Sutley, and J. B. Dalton, "Imaging spectroscopy: Earth and planetary remote sensing with the USGS tertracorder and expert systems," J. Geophys. Res., vol. 108, no. E12, pp. 5-1-5-44, 2003.
43. R. A. Neville, J. Levesque, K. Staenz, C. Nadeau, P. Hauff, and G. A. Borstad, "Spectral unmixing of hyperspectral imagery for mineral exploration: Comparison of results from SFSI and AVIRIS," Can. J. Remote Sens., vol. 29, pp. 99-110, 2003.
44. R. Richter, "Atmospheric/Topographical Correction for Airborne Imagery," ATCOR-4 User Guide, Wessling, Germany, 2010.
45. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes in C: The Art of Scientific Computing, 2nd ed. Cambridge, UK: Cambridge Univ. Press, 1992.