Hyperspectral image classification based on morphological profiles and decision fusion

References

• Bau, T. C., S. Sarkar, and G. Heale. 2010. “Hyperspectral Region Classification Using a Three-Dimensional Gabor Filter Bank.” IEEE Transactions on Geoscience and Remote Sensing 48 (9): 3457–3464. doi:10.1109/TGRS.2010.2046494.
   Web of Science ®Google Scholar
• Benediktsson, J. A., J. A. Palmason, and J. R. Sveinsson. 2005. “Classification of Hyperspectral Data from Urban Areas Based on Extended Morphological Profiles.” IEEE Transactions on Geoscience and Remote Sensing 43 (3): 480–491. doi:10.1109/TGRS.2004.842478.
   Web of Science ®Google Scholar
• Benediktsson, J. A., M. Pesaresi, and K. Arnason. 2003. “Classification and Feature Extraction for Remote Sensing Images from Urban Areas Based on Morphological Transformations.” IEEE Transactions on Geoscience and Remote Sensing 41 (9): 1940–1949. doi:10.1109/TGRS.2003.814625.
   Web of Science ®Google Scholar
• Benediktsson, J. A., and P. H. Swain. 1992. “Consensus Theoretic Classification Methods.” IEEE Transactions on System, Man, and Cybernatics-Part B: Cybernatics 24 (5): 688–704. doi:10.1109/21.156582.
   Web of Science ®Google Scholar
• Bernard, K., Y. Tarabalka, J. Chanussot, and J. A. Benediktsson. 2012. “Spectral-Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach.” IEEE Transactions on Image Processing 21 (4): 2008–2021. doi:10.1109/TIP.2011.2175741.
   PubMed Web of Science ®Google Scholar
• Breiman, L. 2001. “Random Forests.” Machine Learning 45: 5–32. doi:10.1023/A:1010933404324.
   Web of Science ®Google Scholar
• Camps-Vallas, G., and L. Bruzzone. 2009. “Kernel-Based Methods for Hyperspectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing 43 (6): 1351–1362. doi:10.1109/TGRS.2005.846154.
   Web of Science ®Google Scholar
• Chang, -C.-C., and C.-J. Lin. 2011. “LIBSVM: A Library for Support Vector Machines.” ACM Transactions on Intelligent Systems and Technology 2 (3): 27: 1-27:27. doi:10.1145/1961189.
   Web of Science ®Google Scholar
• Congalton, R. G., and K. Green. 1999. Assessing the Accuracy of Remotely Sensed Data- Principles and Practices. Boca Raton: Lewis Publisher.
   Google Scholar
• Fauvel, M., J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson. 2007. “Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles.” IEEE Transactions on Geoscience and Remote Sensing 46 (11): 3804–3814. doi:10.1109/TGRS.2008.922034.
   Web of Science ®Google Scholar
• Ghamisi, P., J. A. Benediktsson, and J. R. Sveinsson. 2014. “Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction.” IEEE Transactions on Geoscience and Remote Sensing 52 (9): 5771–5782. doi:10.1109/TGRS.2013.2292544.
   Web of Science ®Google Scholar
• Ghamisi, P., J. A. Benediktsson, and M. O. Ulfarsson. 2014. “Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields.” IEEE Transactions on Geoscience and Remote Sensing 52 (5): 2565–2574. doi:10.1109/TGRS.2013.2263282.
   Web of Science ®Google Scholar
• Goetz, A. F. H. 2009. “Three Decades of Hyperspectral Remote Sensing of the Earth: A Personal View.” Remote Sensing of Environment 113: S5–S16. doi:10.1016/j.rse.2007.12.014.
   Web of Science ®Google Scholar
• Joliffe, I. 2002. Principal Component Analysis. New York: Springer-Verlag.
   Google Scholar
• Kittler, J., M. Hatef, R. P. W. Duin, and J. Matas. 1998. “On Combining Classifiers.” IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (3): 226–239. doi:10.1109/34.667881.
   Web of Science ®Google Scholar
• Lv, Z. Y., P. Zhang, J. A. Benediktsson, and W. Z. Shi. 2014. “Morphological Profiles Based on Differently Shaped Structuring Elements for Classification of Images with Very High Spatial Resolution.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (12): 4644–4652. doi:10.1109/JSTARS.2014.2328618.
   Web of Science ®Google Scholar
• Marpu, P. R., M. Pedergnana, M. D. Mura, A. Villa, J. A. Benediktsson, and J. Chanussot. 2013. “Automatic Generation of Standard Deviation Attribute Profiles for Spectral-Spatial Classification of Remote Sensing Data.” IEEE Geoscience Remote Sensing Letters 10 (2): 293–297. doi:10.1109/LGRS.2012.2203784.
   Web of Science ®Google Scholar
• Mura, M. D., A. Villa, J. A. Benediktsson, J. Chanussot, and L. Bruzzone. 2011. “Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis.” IEEE Geoscience Remote Sensing Letters 8 (3): 542–546. doi:10.1109/LGRS.2010.2091253.
   Web of Science ®Google Scholar
• Prasad, S., and L. M. Bruce. 2008. “Decision Fusion with Confidence-Based Weight Assignment for Hyperspectral Target Recognition.” IEEE Transactions on Geoscience and Remote Sensing 46 (5): 1448–1456. doi:10.1109/TGRS.2008.916207.
   Web of Science ®Google Scholar
• Qian, Y., M. Ye, and J. Zhou. 2012. “Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features.” IEEE Transactions on Geoscience and Remote Sensing 51 (4): 2276–2291. doi:10.1109/TGRS.2012.2209657.
   Web of Science ®Google Scholar
• Quesada-Barriuso, P., F. Argello, and D. B. Heras. 2014. “Spectral-Spatial Classification of Hyperspectral Images Using Wavelets and Extended Morphological Profiles.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (4): 1177–1186. doi:10.1109/JSTARS.2014.2308425.
   Web of Science ®Google Scholar
• Rajadell, O., P. Garca-Sevilla, and F. Pla. 2013. “Spectral-Spatial Pixel Characterization Using Gabor Filters for Hyperspectral Image Classification.” IEEE Geoscience Remote Sensing Letters 10 (4): 860–864. doi:10.1109/LGRS.2012.2226426.
   Web of Science ®Google Scholar
• Shen, S., and S. Jia. 2011. “Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification.” IEEE Transactions on Geoscience and Remote Sensing 49 (12): 5039–5046. doi:10.1109/TGRS.2011.2157166.
   Web of Science ®Google Scholar
• Soille, P. 2004. Morphological Image Analysis. Berlin: Springer-Verlag.
   Google Scholar
• Tarabalka, Y., J. Chanussot, and J. A. Benediktsson. 2010a. “Segmentation and Classification of Hyperspectral Images Using Watershed Transformation.” Pattern Recognition 43: 2367–2379. doi:10.1016/j.patcog.2010.01.016.
   Web of Science ®Google Scholar
• Tarabalka, Y., J. Chanussot, and J. A. Benediktsson. 2010b. “Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown from Automatically Selected Markers.” IEEE Transactions on System, Man, and Cybernatics-Part B: Cybernatics 40 (5): 1267–1279. doi:10.1109/TSMCB.2009.2037132.
   PubMed Web of Science ®Google Scholar
• Tarabalka, Y., M. Fauvel, J. Chanussot, and J. A. Benediktsson. 2013. “SVM-and MRF-Based Method for Accurate Classification of Hyperspectral Images.” IEEE Geoscience Remote Sensing Letters 7 (4): 736–740. doi:10.1109/LGRS.2010.2047711.
   Web of Science ®Google Scholar
• Velasco-Forero, S., and J. Angulo. 2013. “Classification of Hyperspectral Images by Tensor Modeling and Additive Morphological Decomposition.” Pattern Recognition 46: 566–577. doi:10.1016/j.patcog.2012.08.011.
   Web of Science ®Google Scholar
• Ye, Z., S. Prasad, W. Li, J. E. Fowler, and M. He. 2014. “Classification Based on 3-D DWT and Decision Fusion for Hyperspectral Image Analysis.” IEEE Geoscience Remote Sensing Letters 11 (1): 173–177. doi:10.1109/LGRS.2013.2251316.
   Web of Science ®Google Scholar
• Zhang, G., and X. Jia. 2012. “Simplified Conditional Random Fields with Class Boundary Constraint for Spectral-Spatial Based Remote Sensing Image Classification.” IEEE Geoscience Remote Sensing Letters 9 (5): 856–860. doi:10.1109/LGRS.2012.2186279.
   Web of Science ®Google Scholar