Decision fusion of textural features derived from polarimetric data for levee assessment

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

Volumn 5, Issue 3, 2012, Pages 970-976

  Cui, Minshan ^a   Prasad, Saurabh ^a   Mahrooghy, Majid ^b   Aanstoos, James V ^b   Lee, Matthew A ^b   Bruce, Lori M ^b  

^a UNIVERSITY OF HOUSTON   (United States)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Grey level co occurence matrix; multi classifier decision fusion; synthetic aperture radar data

Indexed keywords

CLASSIFICATION DECISION; CO-OCCURRENCE-MATRIX; DECISION FUSION; FEATURE GROUPING; GREY LEVEL CO-OCCURENCE MATRIX; GREY LEVELS; HEALTH MONITORING SYSTEM; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL FEATURE SPACE; ILL-CONDITIONED; MULTI-CLASSIFIER; MULTICLASSIFIER SYSTEM; POLARIMETRIC DATA; POLARIZATION CHANNELS; SAR IMAGERY; STATISTICAL FORMULATION; SYNTHETIC APERTURE RADAR IMAGERY; TEXTURAL FEATURE; TEXTURE FEATURES; TRAINING SAMPLE;

CHARACTER RECOGNITION; LANDSLIDES; LEVEES; TEXTURES;

SYNTHETIC APERTURE RADAR;

HEALTH MONITORING; LANDSLIDE; LEVEE; MONITORING SYSTEM; POLARIZATION; RADAR IMAGERY; SYNTHETIC APERTURE RADAR; TEXTURE;

EID: 84863516953     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2195713     Document Type: Review

References (19)

1. A. A. Ursani, K. Kpalma, C. C. D. Lelong, and J. Ronsin, "Fusion of textural and spectral information for tree crop and other agricultural covermapping with very-high resolution satellite images," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS), vol. 5, no. 1, pp. 225-235, Feb. 2012.
2. P. Gamba, M. Aldrighi, and M. Stasolla, "Robust extraction of urban area extents in HR and VHR SAR images," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS), vol. 4, no. 1, pp. 27-34, Mar. 2011.
3. P. R. Chowdhury, B. Deshmukh, A. K. Goswami, and S. S. Prasad, "Neural network based dunal landformmapping frommultispectral images using texture features," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS), vol. 4, no. 1, pp. 27-34, Mar. 2011.
4. S. Kumar, J. Ghosh, andM.M. Crawford, "Best-bases features extraction algorithms for classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1368-1379, Jul. 2001. (Pubitemid 32732653)
5. S. Nakariyakul and D. P. Casasent, "Improved forward floating selection algorithm for feature subset selection," in Proc. 2008 IEEE Int. Conf. Wavelet Analysis and Pattern Recognition, Hong Kong, Aug. 2008, pp. 793-798.
6. S. Prasad, L. M. Bruce, and J. E. Ball, "A multi-classifier and decision fusion framework for robust classification of mammographic masses," in Proc. 30th Annu. IEEE EMBS Int. Conf., Vancouver, BC, Canada, Aug. 2008, pp. 793-798.
7. C. Li, H. Chu, B. Kuo, and C. Lin, "Hyperspectral image classification using spectral and spatial information based linear discriminant analysis," in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS 2011), Vancouver, BC, Canada, Jul. 2011, pp. 1716-1719.
8. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York: Wiley, 2001.
9. T. H. Dat and C. Guan, "Feature selection based on fisher ratio and mutual information analysis for robust brain computer interface," in Proc. 2007 IEEE Int. Conf. Acoustics, Speech and Signal Processing, Toulouse, France, Apr. 2007, pp. 337-340.
10. T. V. Bandos, L. Bruzzone, and G. Camps-Valls, "Classification of hyperspectral images with regularized linear discriminant analysis," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 3, pp. 862-873, Mar. 2009.
11. C. Lee and D. Hong, "Feature extraction using the Bhattacharyya distance," in Proc. 1997 IEEE Int. Conf. Systems, Man and Cybernetics, Orlando, FL, Apr. 1997, pp. 337-340.
12. R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man Cybern., vol. 3, no. 6, pp. 610-621, Nov. 1973.
13. A. Baraldi and F. Parmiggiani, "An investigation of the textural characteristics associated with gray level co-occurrence matrix statistical parameters," IEEE Trans. Geosci. Remote Sens., vol. 33, no. 2, pp. 293-304, Mar. 2001.
14. D. R. Paudyal, A. Eiumnoh, and J. Aschbacher, "Textural information in SAR images for land-cover applications," in Proc. 30th Annu. Int. IEEE EMBS Conf., Vancouver, BC, Canada, Aug. 2008, pp. 3048-3051.
15. A. Pahliani and P. Lima, "Cooperative opinion pool: A new method for sensor fusion by a robot team," in Proc. 2007 IEEE Int. Conf. Intelligent Robots and Systems, San Diego, CA, Oct. 2007, pp. 3721-3726.
16. J.V.Aanstoos, K. Hasan, C. G. O'Hara, S. Prasad, L. Dabbiru, R. Nobrega, L. Matthew, and B. Shrestha, "Use of remote sensing to screen earthen levees," in Proc. 39th IEEE Applied Imagery Pattern Recognition Workshop, Washington, DC, Oct. 2010, pp. 337-340.
17. A. K. M. A. Hossain, G. Easson, and K. Hasan, "Detection of levee slides using commercially available remotely sensed data," in Environmental and Engineering Geoscience, Washington, DC, Aug. 2006, pp. 235-246. (Pubitemid 44971775)
18. J. Shi, J. Wang, A. Hsu, P. O'Neill, and E. T. Engman, "Estimation of bare soil moisture and surface roughness parameter using L-band SAR image data," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 5, pp. 1254-1266, Sep. 1997.
19. K.Wheeler, S. Hensley, Y. Lou, T.Miller, and J. Hoffman, "AnL-band SAR for repeat pass deformation measurements on a UAV platform," in Proc. 2004 IEEE Int. Conf. Radar, Philadelphia, PA, Apr. 2004, pp. 317-322.