Feature extraction method based on spectral dimensional edge preservation filtering for hyperspectral image classification

References

• Abend, K., T. J. Harley Jr., B. Chandrasekaran, T. J. Harley, and G. F. Hughes. 1969. “Comments ‘On the Mean Accuracy of Statistical Pattern Recognizers’.” IEEE Transactions on Information Theory IT-15 (3): 420–423. doi:10.1109/tit.1969.1054314.
   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
• Bioucas-Dias, J. M., A. Plaza, G. Camps-Valls, P. Scheunders, N. M. Nasrabadi, and J. Chanussot. 2013. “Hyperspectral Remote Sensing Data Analysis and Future Challenges.” IEEE Geoscience and Remote Sensing Magazine 1 (2): 6–36. doi:10.1109/mgrs.2013.2244672.
   Web of Science ®Google Scholar
• Bruce, L. M., C. H. Koger, and J. Li. 2002. “Dimensionality Reduction of Hyperspectral Data using Discrete Wavelet Transform Feature Extraction.” IEEE Transactions on Geoscience and Remote Sensing 40 (10): 2331–2338. doi:10.1109/tgrs.2002.804721.
   Web of Science ®Google Scholar
• Camps-Valls, G., L. Gomez-Chova, J. Munoz-Mari, J. Vila-Frances, and J. Calpe-Maravilla. 2006. “Composite Kernels for Hyperspectral Image Classification.” IEEE Geoscience and Remote Sensing Letters 3 (1): 93–97. doi:10.1109/lgrs.2005.857031.
   Web of Science ®Google Scholar
• Camps-Valls, G., D. Tuia, L. Bruzzone, and J. A. Benediktsson. 2014. “Advances in Hyperspectral Image Classification.” IEEE Signal Processing Magazine 31 (1): 45–54. doi:10.1109/msp.2013.2279179.
   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. doi:10.1145/1961189.1961199.
   Web of Science ®Google Scholar
• Chen, Y. S., Z. H. Lin, X. Zhao, G. Wang, and Y. F. Gu. 2014. “Deep Learning-Based Classification of Hyperspectral Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (6): 2094–2107. doi:10.1109/jstars.2014.2329330.
   Web of Science ®Google Scholar
• Dutra, L. V., and D. A. Mascarenhas. 1984. “Some Experiments with Spatial Feature Extraction Methods in Multispectral Classification.” International Journal of Remote Sensing 5 (2): 303–313. doi:10.1080/01431168408948810.
   Web of Science ®Google Scholar
• Fauvel, M., Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton. 2013. “Advances in Spectral-Spatial Classification of Hyperspectral Images.” Proceedings of the Ieee 101 (3): 652–675. doi:10.1109/jproc.2012.2197589.
   Web of Science ®Google Scholar
• Ghamisi, P., M. Dalla Mura, and J. A. Benediktsson. 2015. “A Survey on Spectral-Spatial Classification Techniques Based on Attribute Profiles.” IEEE Transactions on Geoscience and Remote Sensing 53 (5): 2335–2353. doi:10.1109/tgrs.2014.2358934.
   Web of Science ®Google Scholar
• Ghamisi, P., J. Plaza, Y. S. Chen, J. Li, and A. Plaza. 2017. “Advanced Spectral Classifiers for Hyperspectral Images A Review.” IEEE Geoscience and Remote Sensing Magazine 5 (1): 8–32. doi:10.1109/mgrs.2016.2616418.
   Web of Science ®Google Scholar
• Guo, X., X. Huang, L. F. Zhang, L. P. Zhang, A. Plaza, and J. A. Benediktsson. 2016. “Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery.” IEEE Transactions on Geoscience and Remote Sensing 54 (6): 3248–3264. doi:10.1109/tgrs.2016.2514404.
   Web of Science ®Google Scholar
• Harsanyi, J. C., and C. I. Chang. 1994. “Hyperspectral Image Classification and Dimensionality Reduction: An Orthogonal Subspace Projection Approach.” IEEE Transactions on Geoscience and Remote Sensing 32 (4): 779–785. doi:10.1109/36.298007.
   Web of Science ®Google Scholar
• Hege, K., D. O’Connell, W. Johnson, S. Basty, and E. Dereniak. 2003. “Hyperspectral Imaging for Astronomy and Space Surviellance.” Paper presented at the Conference on Imaging Spectrometry IX, San Diego, CA, Aug 06–07.
   Google Scholar
• Huang, X., Q. K. Lu, L. P. Zhang, and A. Plaza. 2014. “New Postprocessing Methods for Remote Sensing Image Classification: A Systematic Study.” IEEE Transactions on Geoscience and Remote Sensing 52 (11): 7140–7159. doi:10.1109/tgrs.2014.2308192.
   Web of Science ®Google Scholar
• Huang, X., and L. P. Zhang. 2008. “An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification from Urban Hyperspectral Imagery.” IEEE Transactions on Geoscience and Remote Sensing 46 (12): 4173–4185. doi:10.1109/tgrs.2008.2002577.
   Web of Science ®Google Scholar
• Huang, X., and L. P. Zhang. 2013. “An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery.” IEEE Transactions on Geoscience and Remote Sensing 51 (1): 257–272. doi:10.1109/tgrs.2012.2202912.
   Web of Science ®Google Scholar
• Huber, R., and L. V. Dutra. 1998. “Feature Selection for ERS-1/2 InSAR Classification: High Dimensionality Case.” Igarss ‘98–1998 International Geoscience and Remote Sensing Symposium, Proceedings Vols 1–5: Sensing and Managing the Environment:1605–1607. doi: 10.1109/igarss.1998.691637.
   Google Scholar
• Imani, M., and H. Ghassemian. 2015. “Feature Extraction Using Median-mean and Feature Line Embedding.” International Journal of Remote Sensing 36 (17): 4297–4314. doi:10.1080/01431161.2015.1079665.
   Web of Science ®Google Scholar
• Imani, M., and H. Ghassemian. 2017. “Edge-preserving-based Collaborative Representation for Spectral-spatial Classification.” International Journal of Remote Sensing 38 (20): 5524–5545. doi:10.1080/01431161.2017.1343513.
   Web of Science ®Google Scholar
• Jia, S., X. J. Zhang, and Q. Q. Li. 2015. “Spectral-Spatial Hyperspectral Image Classification Using L(1/2) Regularized Low-Rank Representation and Sparse Representation-Based Graph Cuts.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (6): 2473–2484. doi:10.1109/jstars.2015.2423278.
   Web of Science ®Google Scholar
• Jimenez-Rodriguez, L. O., E. Arzuaga-Cruz, and M. Velez-Reyes. 2007. “Unsupervised Linear Feature-extraction Methods and Their Effects in the Classification of High-dimensional Data.” IEEE Transactions on Geoscience and Remote Sensing 45 (2): 469–483. doi:10.1109/tgrs.2006.885412.
   Web of Science ®Google Scholar
• Kang, X. D., S. T. Li, and J. A. Benediktsson. 2014a. “Feature Extraction of Hyperspectral Images with Image Fusion and Recursive Filtering.” Ieee Transactions on Geoscience and Remote Sensing 52 (6): 3742–3752. doi:10.1109/tgrs.2013.2275613.
   Web of Science ®Google Scholar
• Kang, X. D., S. T. Li, and J. A. Benediktsson. 2014b. “Spectral-Spatial Hyperspectral Image Classification With Edge-Preserving Filtering.” IEEE Transactions on Geoscience and Remote Sensing 52 (5): 2666–2677. doi:10.1109/tgrs.2013.2264508.
   Web of Science ®Google Scholar
• Kang, X. D., S. T. Li, L. Y. Fang, and J. A. Benediktsson. 2015a. “Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images.” IEEE Transactions on Geoscience and Remote Sensing 53 (4): 2241–2253. doi:10.1109/tgrs.2014.2358615.
   Web of Science ®Google Scholar
• Kang, X. D., S. T. Li, L. Y. Fang, M. X. Li, and J. A. Benediktsson. 2015b. “Extended Random Walker-Based Classification of Hyperspectral Images.” IEEE Transactions on Geoscience and Remote Sensing 53 (1): 144–153. doi:10.1109/tgrs.2014.2319373.
   Web of Science ®Google Scholar
• Krishnapuram, B., L. Carin, M. A. T. Figueiredo, and A. J. Hartemink. 2005. “Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds.” IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (6): 957–968. doi:10.1109/tpami.2005.127.
   PubMed Web of Science ®Google Scholar
• Kumar, S., J. Ghosh, and M. M. Crawford. 2001. “Best-bases Feature Extraction Algorithms for Classification of Hyperspectral Data.” IEEE Transactions on Geoscience and Remote Sensing 39 (7): 1368–1379. doi:10.1109/36.934070.
   Web of Science ®Google Scholar
• Li, J., M. Khodadadzadeh, A. Plaza, X. P. Jia, and J. M. Bioucas-Dias. 2016. “A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (2): 625–639. doi:10.1109/jstars.2015.2470129.
   Web of Science ®Google Scholar
• Li, W., S. Prasad, J. E. Fowler, and L. M. Bruce. 2011. “Locality-Preserving Discriminant Analysis in Kernel-Induced Feature Spaces for Hyperspectral Image Classification.” IEEE Geoscience and Remote Sensing Letters 8 (5): 894–898. doi:10.1109/lgrs.2011.2128854.
   Web of Science ®Google Scholar
• Li, W., S. Prasad, J. E. Fowler, and L. M. Bruce. 2012. “Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis.” IEEE Transactions on Geoscience and Remote Sensing 50 (4): 1185–1198. doi:10.1109/tgrs.2011.2165957.
   Web of Science ®Google Scholar
• Liao, W. Z., A. Pizurica, P. Scheunders, W. Philips, and Y. G. Pi. 2013. “Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images.” IEEE Transactions on Geoscience and Remote Sensing 51 (1): 184–198. doi:10.1109/tgrs.2012.2200106.
   Web of Science ®Google Scholar
• Ozkan, C., and F. S. Erbek. 2005. “Comparing Feature Extraction Techniques for Urban Land-use Classification.” International Journal of Remote Sensing 26 (4): 747–757. doi:10.1080/01431160512331316793.
   Web of Science ®Google Scholar
• Patil, S. D., Y. T. Gu, F. S. A. Dias, M. Stieglitz, and G. Turk. 2017. “Predicting the Spectral Information of Future Land Cover Using Machine Learning.” International Journal of Remote Sensing 38 (20): 5592–5607. doi:10.1080/01431161.2017.1343512.
   Web of Science ®Google Scholar
• Plaza, A., J. A. Benediktsson, J. W. Boardman, J. Brazile, L. Bruzzone, G. Camps-Valls, J. Chanussot, et al. 2009. “Recent Advances in Techniques for Hyperspectral Image Processing.” Remote Sensing of Environment 113 :S110–S22. doi:10.1016/j.rse.2007.07.028.
   Web of Science ®Google Scholar
• Prasad, S., and L. M. Bruce. 2008. “Limitations of Principal Components Analysis for Hyperspectral Target Recognition.” IEEE Geoscience and Remote Sensing Letters 5 (4): 625–629. doi:10.1109/lgrs.2008.2001282.
   Web of Science ®Google Scholar
• Qian, Y. T., M. C. Ye, and J. Zhou. 2013. “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
• Richards, J. A. 2006. Remote Sensing Digital Image Analysis. Vol. 10. New York,NY,USA: Springer.
   Google Scholar
• Rodriguez, J. J., and L. I. Kuncheva. 2006. “Rotation Forest: A New Classifier Ensemble Method.” IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (10): 1619–1630. doi:10.1109/tpami.2006.211.
   PubMed Web of Science ®Google Scholar
• Shen, L. L., and L. Bai. 2008. “3D Gabor Wavelets for Evaluating SPM Normalization Algorithm.” Medical Image Analysis 12 (3): 375–383. doi:10.1016/j.media.2007.12.004.
   PubMed Web of Science ®Google Scholar
• Shen, L. L., 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
• Tomasi, C., and R. Manduchi, and Ieee. 1998. “Bilateral Filtering for Gray and Color Images.” Sixth International Conference on Computer Vision:839–846. doi: 10.1109/iccv.1998.710815.
   Google Scholar
• Toth, C., and G. Jozkow. 2016. “Remote Sensing Platforms and Sensors: A Survey.” ISPRS Journal of Photogrammetry and Remote Sensing 115: 22–36. doi:10.1016/j.isprsjprs.2015.10.004.
   Web of Science ®Google Scholar
• Tuia, D., M. Volpi, M. D. Mura, A. Rakotomamonjy, and R. Flamary. 2014. “Automatic Feature Learning for Spatio-Spectral Image Classification with Sparse SVM.” IEEE Transactions on Geoscience and Remote Sensing 52 (10): 6062–6074. doi:10.1109/tgrs.2013.2294724.
   Web of Science ®Google Scholar
• Villa, A., J. A. Benediktsson, J. Chanussot, and C. Jutten. 2011. “Hyperspectral Image Classification With Independent Component Discriminant Analysis.” IEEE Transactions on Geoscience and Remote Sensing 49 (12): 4865–4876. doi:10.1109/tgrs.2011.2153861.
   Web of Science ®Google Scholar
• Wang, Y., R. Q. Niu, and X. Yu. 2010. “Anisotropic Diffusion for Hyperspectral Imagery Enhancement.” IEEE Sensors Journal 10 (3): 469–477. doi:10.1109/jsen.2009.2037800.
   Web of Science ®Google Scholar
• Yuen, P. W. T., and M. Richardson. 2010. “An Introduction to Hyperspectral Imaging and Its Application for Security, Surveillance and Target Acquisition.” Imaging Science Journal 58 (5): 241–253. doi:10.1179/174313110x12771950995716.
   Web of Science ®Google Scholar
• Zhang, X. J., C. Xu, M. Li, and X. L. Sun. 2015. “Sparse and Low-Rank Coupling Image Segmentation Model via Nonconvex Regularization.” International Journal of Pattern Recognition and Artificial Intelligence 29 (2): 22. doi:10.1142/s0218001415550046.
   Web of Science ®Google Scholar
• Zhu, Z. X., S. Jia, S. He, Y. W. Sun, Z. Ji, and L. L. Shen. 2015. “Three-dimensional Gabor Feature Extraction for Hyperspectral Imagery Classification Using a Memetic Framework.” Information Sciences 298: 274–287. doi:10.1016/j.ins.2014.11.045.
   Web of Science ®Google Scholar