A subspace-based change detection method for hyperspectral images

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

Volumn 6, Issue 2, 2013, Pages 815-830

  Wu, Chen ^a   Du, Bo ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Change detection; HJ 1A HSI; Hyperion; hyperspectral imagery; orthogonal subspace projection; subspace distance

Indexed keywords

CHANGE DETECTION; HJ-1A HSI; HYPER-SPECTRAL IMAGERIES; HYPERION; ORTHOGONAL SUBSPACE PROJECTION; SUBSPACE DISTANCE;

ERRORS; IMAGE RECONSTRUCTION; REMOTE SENSING; SIGNAL DETECTION; SPECTROSCOPY;

PIXELS;

ACCURACY ASSESSMENT; DETECTION METHOD; HYPERION; IMAGERY; IMAGING METHOD; LAND COVER; PIXEL; REMOTE SENSING; SPATIAL ANALYSIS; SPECTRAL ANALYSIS;

HYPERION;

EID: 84877922630     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2241396     Document Type: Article

References (74)

1. D. Lu, P. Mausel,E. Brondizio, and E. Moran, "Change detection techniques," Int. J. Remote Sens. , vol. 25, pp. 2365-2401, Jun. 2004.
2. R. E. Kennedy, P. A. Townsend, J. E. Gross, W. B. Cohen, P. Bolstad, Y. Q. Wang, and P. Adams, "Remote sensing change detection tools for natural resource managers:Understanding concepts and tradeoffs in the design of landscape monitoring projects," Remote Sens. Environ. , vol. 113, pp. 1382-1396, Jul. 2009.
3. P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, "Digital change detection methods in ecosystem monitoring: A review," Int. J. Remote Sens. , vol. 25, pp. 1565-1596, May 2004. (Pubitemid 38516797)
4. A. Singh, "Review article digital change detection techniques using remotely-sensed data," Int. J. Remote Sens. , vol. 10, pp. 989-1003, Jul. 1989.
5. J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis: An Introduction. New York: Springer Verlag, 2006.
6. M. A. Wulder, J. C. White, S. N. Goward, J. G. Masek, J. R. Irons,M. Herold, W. B. Cohen, T. R. Loveland, and C. E. Woodcock, "Landsat continuity: Issues and opportunities for land cover monitoring," Remote Sens. Environ. , vol. 112, pp. 955-969, Mar. 2008. (Pubitemid 351296243)
7. G. Xian, C. Homer, and J. Fry, "Updating the 2001 national land cover database land cover classification to 2006 by using Landsat imagery change detection methods," Remote Sens. Environ. , vol. 113, pp. 1133-1147, Jun. 2009.
8. H. Bagan, W. Takeuchi,T. Kinoshita, Y. Bao, andY. Yamagata, "Land cover classification and change analysis in theHorqin Sandy Land from 1975 to 2007," IEEE J. Sel. Top. Appl. , vol. 3, pp. 168-177, Jun. 2010.
9. J. Linke and G. J. McDermid, "A conceptual model for multi-temporal landscape monitoring in an object-based environment," IEEE J. Sel. Top. Appl. , vol. 4, pp. 265-271, Jun. 2011.
10. G. Xian and C. Homer, "Updating the 2001 national land cover database impervious surface products to 2006 using Landsat imagery change detection methods," Remote Sens. Environ. , vol. 114, pp. 1676-1686, Aug. 2010.
11. B. Liang and Q. Weng, "Assessing urban environmental quality change of Indianapolis, United States, by the remote sensing and GIS integration," IEEE J. Sel. Topics. Appl. Earth Observ. Remote Sens. , vol. 4, pp. 43-55, Mar. 2011.
12. P. Coppin andM. Bauer, "Digital change detection in forest ecosystems with remote sensing imagery," Remote Sens. Rev. , vol. 13, pp. 207-234, 1996.
13. J. -F. Pekel, P. Ceccato, C. Vancutsem, K. Cressman, E. Vanbogaert, and P. Defourny, "Development and application of multi-temporal colorimetric transformation to monitor vegetation in the desert locust habitat," IEEE J. Sel. Topics. Appl. Earth Observ. Remote Sens. , vol. 4, pp. 318-326, 2011.
14. A. Koltunov and S. L. Ustin, "Early fire detection using non-linearmultitemporal prediction of thermal imagery," Remote Sens. Environ. , vol. 110, pp. 18-28, Sep. 2007. (Pubitemid 47082445)
15. J. E. Vogelmann, J. R. Kost, B. Tolk, S. Howard, K. Short, C. Xuexia, H. Chengquan, K. Pabst, and M. G. Rollins, "Monitoring landscape change for LANDFIRE using multi-temporal satellite imagery and ancillary data," IEEE J. Sel. Topics. Appl. Earth Observ. Remote Sens. , vol. 4, pp. 252-264, 2011.
16. T. Celik, "Bayesian change detection based on spatial sampling and Gaussian mixture model," Pattern Recognit. Lett. , vol. 32, pp. 1635-1642, 2011.
17. M. K. Ridd and J. Liu, "A comparison of four algorithms for change detection in an urban environment," Remote Sens. Environ. , vol. 63, pp. 95-100, Feb. 1998. (Pubitemid 29360408)
18. L. Bruzzone and D. F. Prieto, "Automatic analysis of the difference image for unsupervised change detection," IEEE Trans. Geosci. Remote Sens. , vol. 38, pp. 1171-1182, May 2000.
19. F. Bovolo and L. Bruzzone, "A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain," IEEE Trans. Geosci. Remote Sens. , vol. 45, pp. 218-236, Jan. 2007. (Pubitemid 46103908)
20. Y. Tang, L. Zhang, and X. Huang, "Object-oriented change detection based on the Kolmogorov-Smirnov test using high-resolution multispectral imagery," Int. J. Remote Sens. , vol. 32, pp. 5719-5740, Oct. 2011.
21. L. Wei, P. Li, L. Zhang, and Y. Zhong, "An advanced change detection method based on object-oriented classification of multi-band remote sensing image," in 18th Int. Conf. Geoinformatics, 2010, pp. 1-6.
22. L. Zhang and X. Huang, "Advanced processing techniques for remotely sensed imagery," J. Remote Sens. , vol. 13, pp. 559-569, Jul. 2009.
23. D. Landgrebe, "Hyperspectral image data analysis," IEEE Signal Process. Mag. , vol. 19, pp. 17-28, Jan. 2002. (Pubitemid 34237205)
24. Y. Zhong, L. Zhang, B. Huang, and P. Li, "An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery," IEEE Trans. Geosci. Remote Sens. , vol. 44, pp. 420-431, Feb. 2006. (Pubitemid 43149277)
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, Apr. 2005. (Pubitemid 40476033)
26. 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, no. Suppl. 1, pp. S110-S122, Sep. 2009.
27. C. Benedek and T. Sziranyi, "Change detection in optical aerial images by a multilayer conditional mixed Markov model," IEEE Trans. Geosci. Remote Sens. , vol. 47, pp. 3416-3430, Oct. 2009.
28. J. M. Bioucas-Dias,A. Plaza,N. Dobigeon,M. Parente,Q. Du, P. Gader, and J. Chanussot, "Hyperspectralunmixing overview:Geometrical, statistical, and sparse regression-based approaches," IEEE J. Sel. Topics. Appl. EarthObserv. Remote Sens. , vol. 5, pp. 354-379, Apr. 2012.
29. I. Dopido, A. Villa, A. Plaza, and P. Gamba, "A quantitative and comparative assessment of unmixing-based feature extraction techniques for hyperspectral image classification," IEEE J. Sel. Topics. Appl. Earth Observ. Remote Sens. , vol. 5, pp. 421-435, Apr. 2012.
30. G. Martin and A. Plaza, "Spatial-spectral preprocessing prior to endmember identification and unmixing of remotely sensed hyperspectral data," IEEE J. Sel. Topics. Appl. Earth Observ. Remote Sens. , vol. 5, pp. 380-395, Apr. 2012.
31. B. Du, L. Zhang, L. Zhang, T. Chen, and K. Wu, "A discriminative manifold learning based dimension reduction method," Int. J. Fuzzy Syst. , vol. 14, pp. 272-277, Jun. 2012.
32. L. Zhang, L. Zhang, D. Tao, and X. Huang, "Tensor discriminative locality alignment for hyperspectral image spectral-spatial feature extraction," IEEE Trans. Geosci. Remote Sens. , vol. 51, pp. 242-256, 2013.
33. R. J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam, "Image change detection algorithms: A systematic survey," IEEE Trans. Image Process. , vol. 14, pp. 294-307, Mar. 2005. (Pubitemid 40351907)
34. F. Yuan, K. Sawaya, B. Loeffelholz, and M. Bauer, "Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing," Remote Sens. Environ. , vol. 98, pp. 317-328, Oct. 2005. (Pubitemid 41398139)
35. D. Liu, K. Song, J. R. G. Townshend, and P. Gong, "Using local transition probability models in Markov random fields for forest change detection," Remote Sens. Environ. , vol. 112, pp. 2222-2231, May 2008.
36. A. A. Nielsen, "The regularized iteratively reweighted MAD method for change detection in multi-and hyperspectral data," IEEE Trans. Image Process. , vol. 16, pp. 463-478, Feb. 2007. (Pubitemid 46421687)
37. A. A. Nielsen, K. Conradsen, and J. J. Simpson, "Multivariate alteration detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies," Remote Sens. Environ. , vol. 64, pp. 1-19, Apr. 1998. (Pubitemid 29363056)
38. J. S. Deng, K. Wang, Y. H. Deng, and G. J. Qi, "PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data," Int. J. Remote Sens. , vol. 29, pp. 4823-4838, Aug. 2008.
39. T. Celik, "Unsupervised change detection in satellite images using principal component analysis and K-means clustering," IEEE Geosci. Remote Sens. Lett. , vol. 6, pp. 772-776, Oct. 2009.
40. J. B. Collins and C. E. Woodcock, "An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data," Remote Sens. Environ. , vol. 56, pp. 66-77, Apr. 1996.
41. M. T. Eismann, J. Meola, and R. C. Hardie, "Hyperspectral change detection in the presence of diurnal and seasonal variations," IEEE Trans. Geosci. Remote Sens. , vol. 46, pp. 237-249, Jan. 2008.
42. M. T. Eismann and J. Meola, "Hyperspectral change detection: Methodology and challenges," in IEEE Int. Geoscience and Remote Sensing Symp. , IGARSS 2008, pp. II-605-II-608.
43. J. Theiler, C. Scovel, B. Wohlberg, and B. R. Foy, "Elliptically contoured distributions for anomalous change detection in hyperspectral imagery," IEEE Geosci. Remote Sens. Lett. , vol. 7, pp. 271-275, Apr. 2010.
44. B. Du and L. Zhang, "Random-selection-based anomaly detector for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens. , vol. 49, pp. 1578-1589, May 2010.
45. J. Meola, M. T. Eismann, R. L. Moses, and J. N. Ash, "Detecting changes in hyperspectral imagery using a model-based approach," IEEE Trans. Geosci. Remote Sens. , vol. 49, pp. 2647-2661, Jul. 2011.
46. J. Meola, M. T. Eismann, R. L. Moses, and J. N. Ash, "A model-based approach to hyperspectral change detection," in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, Orlando, Florida, USA, 2010, p. 76951G.
47. K. I. Ranney and M. Soumekh, "Hyperspectral anomaly detection within the signal subspace," IEEE Geosci. Remote Sens. Lett. , vol. 3, pp. 312-316, 2006. (Pubitemid 44150314)
48. S. Matteoli, N. Acito, M. Diani, and G. Corsini, "An automatic approach to adaptive local background estimation and suppression in hyperspectral target detection," IEEE Trans. Geosci. Remote Sens. , vol. 49, pp. 790-800, 2011.
49. 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, Jul. 1994.
50. C. -I. Chang, "Orthogonal subspace projection (OSP) revisited: A comprehensive study and analysis," IEEE Trans. Geosci. Remote Sens. , vol. 43, pp. 502-518, Mar. 2005. (Pubitemid 40320272)
51. Q. Du, H. Ren, and C. -I. Chang, "A comparative study for orthogonal subspace projection and constrained energy minimization," IEEE Trans. Geosci. Remote Sens. , vol. 41, pp. 1525-1529, Jun. 2003.
52. J. J. Settle, "On the relationship between spectral unmixing and subspace projection," IEEE Trans. Geosci. Remote Sens. , vol. 34, pp. 1045-1046, Jul. 1996. (Pubitemid 126780952)
53. S. Matteoli, N. Acito, M. Diani, and G. Corsini, "Local approach to orthogonal subspace-based target detection in hyperspectral images," presented at the 1stWorkshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing 2009, WHISPERS'09, .
54. Y. Du, P. M. Teillet, and J. Cihlar, "Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection," Remote Sens. Environ. , vol. 82, pp. 123-134, Sep. 2002. (Pubitemid 38362103)
55. X. Yang and C. Lo, "Relative radiometric normalization performance for change detection from multi-date satellite images," Photogramm. Eng. Remote Sens. , vol. 66, pp. 967-980, Aug. 2000. (Pubitemid 30597407)
56. D. Manolakis and G. Shaw, "Detection algorithms for hyperspectral imaging applications," IEEE Signal Process. Mag. , vol. 19, pp. 29-43, Jan. 2002. (Pubitemid 34237206)
57. O. A. de Carvalho, Junior, R. F. Guimares, and R. A. T. Gomes, "Spectral change detection," in IEEE Int. Geoscience and Remote Sensing Symp. , IGARSS 2007, 2007, pp. 1935-1938. (Pubitemid 351243110)
58. X. Wen and X. Yang, "A new change detection method for two remote sensing images based on spectral matching," in Int. Conf. Industrial Mechatronics and Automation, ICIMA 2009, 2009, pp. 89-92.
59. X. Dai and S. Khorram, "The effects of image misregistration on the accuracy of remotely sensed change detection," IEEE Trans. Geosci. Remote Sens. , vol. 36, pp. 1566-1577, Sep. 1998. (Pubitemid 128748560)
60. S. Resta,N. Acito, M. Diani,G. Corsini, T. Opsahl, and T. V. Haavardsholm, "Detection of small changes in airborne hyperspectral imagery: Experimental results over urban areas," in Proc. 6th Int. Workshop Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011, pp. 5-8.
61. B. Wohlberg and J. Theiler, "Improved change detection with local co-registration adjustments," presented at the 1stWorkshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2009), .
62. J. Theiler and B. Wohlberg, "Local Coregistration Adjustment for Anomalous Change Detection," IEEE Trans. Geosci. Remote Sens. , pp. 1-10, 2012.
63. N. Acito, S. Resta,M. Diani, and G. Corsini, "Residual misregistration noise estimation in hyperspectral anomalous change detection," Opt. Eng. , vol. 51, pp. 111705-1-111705-10, 2012.
64. P. R. Marpu, P. Gamba, and M. J. Canty, "Improving change detection results of IR-MAD by eliminating strong changes," IEEE Geosci. Remote Sens. Lett. , vol. 8, pp. 799-803, Jul. 2011.
65. P. Marpu, P. Gamba, and J. A. Benediktsson, "Hyperspectral change detection using IR-MAD and feature reduction," in IEEE Int. Geoscience and Remote Sensing Symp. , IGARSS 2011, pp. 98-101.
66. S. Wold, K. Esbensen, and P. Geladi, "Principal component analysis," Chemometr. Intell. Lab. , vol. 2, pp. 37-52, Aug. 1987.
67. S. G. Ungar, J. S. Pearlman, J. A. Mendenhall, and D. Reuter, "Overview of the earth observing one (EO-1) mission," IEEE Trans. Geosci. Remote Sens. , vol. 41, pp. 1149-1159, Jun. 2003.
68. J. S. Pearlman, P. S. Barry, C. C. Segal, J. Shepanski, D. Beiso, and S. L. Carman, "Hyperion, a space-based imaging spectrometer," IEEE Trans. Geosci. Remote Sens. , vol. 41, pp. 1160-1173, Jun. 2003.
69. R. Beck, Hyperion User Guide Version 2. 3, 2003.
70. X. Zhao, Z. Xiao, Q. Kang, Q. Li, and L. Fang, "Overview of the Fourier transform hyperspectral imager (HSI) boarded on HJ-1A satellite," in IEEE Int. Geoscience and Remote Sensing Symp. , IGARSS 2010, pp. 4272-4274.
71. P. S. Thenkabail, E. A. Enclona, M. S. Ashton, C. Legg, andM. J. De Dieu, "Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests," Remote Sens. Environ. , vol. 90, pp. 23-43, Mar. 2004. (Pubitemid 38225344)
72. J. R. G. Townshend, C. O. Justice, C. Gurney, and J. McManus, "The impact of misregistration on change detection," IEEE Trans. Geosci. Remote Sens. , vol. 30, pp. 1054-1060, Sep. 1992. (Pubitemid 23608400)
73. D. G. Goodenough, A. Dyk, K. O. Niemann, J. S. Pearlman, H. Chen, T. Han, M. Murdoch, and C. West, "Processing hyperion and ALI for forest classification," IEEE Trans. Geosci. Remote Sens. , vol. 41, pp. 1321-1331, Jun. 2003.
74. B. Datt, T. R. McVicar, T. G. Van Niel, D. L. B. Jupp, and J. S. Pearlman, "Preprocessing EO-1 hyperion hyperspectral data to support the application of agricultural indexes," IEEE Trans. Geosci. Remote Sens. , vol. 41, pp. 1246-1259, Jun. 2003.