Improving change detection results of ir-mad by eliminating strong changes

IEEE Geoscience and Remote Sensing Letters

Volumn 8, Issue 4, 2011, Pages 799-803

  Marpu, Prashanth R ^a   Gamba, Paolo ^b   Canty, Morton J ^c  

^a UNIVERSITY OF ICELAND   (Iceland)

^b UNIVERSITY OF PAVIA   (Italy)

^c FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

Change detection; iteratively reweighted multivariate alteration detection (MAD) (IR MAD)

Indexed keywords

CHANGE DETECTION; CHANGE MASK; DATA SETS; ENHANCED THEMATIC MAPPERS; GERMANY; ITERATIVELY REWEIGHTED MULTIVARIATE ALTERATION DETECTION (MAD) (IR-MAD); LANDSAT; MULTI-TEMPORAL; MULTISPECTRAL IMAGES;

ITERATIVE METHODS;

SIGNAL DETECTION;

EID: 79959766431     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2011.2109697     Document Type: Article

References (16)

1. T. Celik, "Change detection in satellite images using a genetic algorithm approach," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 2, pp. 386-390, Apr. 2010.
2. 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, no. 1, pp. 218-236, Jan. 2007. (Pubitemid 46103908)
3. F. Bovolo, "A multilevel parcel-based approach to change detection in very high resolution multitemporal images," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 1, pp. 33-37, Jan. 2009.
4. F. Pacifici and F. Del Frate, "Automatic change detection in very high resolution images with pulse-coupled neural networks," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 58-62, Jan. 2010.
5. M. Dalla Mura, J. Benediktsson, F. Bovolo, and L. Bruzzone, "An unsupervised technique based on morphological filters for change detection in very high resolution images," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 433-437, Jul. 2008.
6. 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, no. 10, pp. 3416-3430, Oct. 2009.
7. A. A. Nielsen, "The regularized iteratively reweighted multivariate alteration detection method for change detection in multi-and hyperspectral data," IEEE Trans. Image Process., vol. 16, no. 2, pp. 463-478, Feb. 2007. (Pubitemid 46421687)
8. 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, no. 1, pp. 1-19, 1998. (Pubitemid 29363056)
9. H. Hotelling, "Relations between two sets of variates," Biometrika, vol. 28, no. 3/4, pp. 321-377, Dec. 1936.
10. L. Zhang, M. Liao, Y. Wang, L. Lu, and Y. Wang, "Robust approach to the MAD change detection method," in Proc. Remote Sens. Environ. Monit., GIS Appl., Geology IV, vol. 5574, SPIE, M. Ehlers, F. Posa, H. J. Kaufmann, U. Michel, and G. D. Carolis, Eds., 2004, no. 1, pp. 184-193. (Pubitemid 40565185)
11. M. J. Canty and A. A. Nielsen, "Visualization and unsupervised classification of changes in multispectral satellite imagery," Int. J. Remote Sens., vol. 27, no. 18, pp. 3961-3975, Sep. 2006. (Pubitemid 44575059)
12. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. R. Stat. Soc. Ser. B, Methodological, vol. 39, no. 1, pp. 1-38, 1977.
13. M. J. Canty and A. A. Nielsen, "Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted multivariate alteration detection transformation," Remote Sens. Environ., vol. 112, no. 3, pp. 1025-1036, Mar. 2008. (Pubitemid 351296251)
14. A. A. Nielsen and M. J. Canty, "Kernel principal component and maximum autocorrelation factor analyses for change detection," in Proc. SPIE Eur. Remote Sens. Conf., vol. 7477, SPIE Europe, Berlin, Germany, Aug. 2009, pp. 74 770T-1-74 770T-6.
15. I. Niemeyer, P. Marpu, and S. Nussbaum, "Change detection using object features," in Object-Based Image Analysis, T. Blaschke, S. Lang, and G. J. Hay, Eds. Berlin, Germany: Springer-Verlag, 2008, ser. Lecture Notes in Geoinformation and Cartography, pp. 185-201.
16. M. J. Canty and A. A. Nielsen, "Investigation of alternative iteration schemes for the IR-MAD algorithm," in Proc. SPIE Eur. Remote Sens. Conf., Florence, Italy, Sep. 2007, vol. 6748, pp. 674 808-1-674 808-10.