Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion

References

• Camps-Valls, G., and L. Bruzzone. 2005. “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
• Camps-Valls, G., L. Gomez-Chova, J. Muñoz-Marí, J. Vila-Francés, 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
• Debes, C., A. Merentitis, R. Heremans, J. Hahn, and N. Frangiadakis. 2014. “Hyperspectral and Lidar Data Fusion: Outcome of the 2013 Grss Data Fusion Contest.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (6): 2405–2418. doi:10.1109/JSTARS.2014.2305441.
   Web of Science ®Google Scholar
• Garciasopo, M. A., A. Cuartero, P. G. Rodriguez, and A. Plaza. 2015. “Hyperspectral and LIDAR Data Integration and Classification.” In Proceedings of the International Geoscience and Remote Sensing Symposium, 57–60. doi:10.1109/IGARSS.2015.7325696.
   Google Scholar
• Ghamisi, P., R. Souza, J. A. Benediktsson, and X. X. Zhu. 2016a. “Extinction Profiles for the Classification of Remote Sensing Data.” IEEE Transactions on Geoscience and Remote Sensing 54 (10): 5631–5645. doi:10.1109/TGRS.2016.2561842.
   Web of Science ®Google Scholar
• Ghamisi, P., R. Souza, J. A. Benediktsson, and X. X. Zhu. 2016b. “Hyperspectral Data Classification Using Extended Extinction Profiles.” IEEE Geoscience and Remote Sensing Letters 13 (11): 1641–1645. doi:10.1109/LGRS.2016.2600244.
   Web of Science ®Google Scholar
• Imani, M., and H. Ghassemian. 2017. “Local Histogram and Discriminative Learning-Based Hyperspectral Data Classification.” Remote Sensing Letters 8 (1): 86–95. doi:10.1080/2150704X.2016.1232868.
   Web of Science ®Google Scholar
• Khodadadzadeh, M., A. Cuartero, J. Li, A. Felicisimo, and A. Plaza. 2015. “Fusion of Hyperspectral and LIDAR Data Using Generalized Composite Kernels: A Case Study in Extremadura, Spain.” In Proceedings of the International Geoscience and Remote Sensing Symposium, 2153–7003. doi:10.1109/IGARSS.2015.7325697.
   Google Scholar
• Khodadadzadeh, M., J. Li, S. Prasad, and A. Plaza. 2015. “Fusion of Hyperspectral and LIDAR Remote Sensing Data Using Multiple Feature Learning.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (6): 2971–2983. doi:10.1109/JSTARS.2015.2432037.
   Web of Science ®Google Scholar
• Lemp, D., and U. Weidner. 2005. “Improvemwnts of Roof Surface Classification Using Hyperspectral and Laser Scanning Data.” In ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, 14–16.
   Google Scholar
• Li, J., P. Reddy Marpu, A. Plaza, J. M. Bioucas-Dias, and J. Atli Benediktsson. 2013. “Generalized Composite Kernel Framework for Hyperspectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing 51 (9): 4816–4829. doi:10.1109/TGRS.2012.2230268.
   Web of Science ®Google Scholar
• Liao, W., R. Bellens, A. Pizurica, S. Gautama, and W. Philips. 2013. “Graph Based Feature Fusion of Hyperspectral and LIDAR Remote Sensing Data Using Morphological Featuresa.” In Proceedings of the International Geoscience and Remote Sensing Symposium, 4942–4945.
   Google Scholar
• Liao, W., J. Xia, P. Du, and W. Philips. 2015. “Semi-Supervised Graph Fusion of Hyperspectral and LIDAR Data for Classification.” In International Geoscience and Remote Sensing Symposium, 53–56. Milan, Italy. doi:10.1109/IGARSS.2015.7325695.
   Google Scholar
• Licciardi, G., F. Pacifici, D. Tuia, S. Prasad, T. West, F. Giacco, C. Thiel, J. Inglada, E. Christophe, and J. Chanussot. 2009. “Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRSS Data Fusion Contest.” IEEE Transactions on Geoscience and Remote Sensing 47 (11): 3857–3865. doi:10.1109/TGRS.2009.2029340.
   Web of Science ®Google Scholar
• Michele, D., B. Lorenzo, and G. Damiano. 2008. “Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas.” IEEE Transactions on Geoscience and Remote Sensing 46 (5): 1416–1427. doi:10.1109/TGRS.2008.916480.
   Web of Science ®Google Scholar
• Mura, M. D., J. A. Benediktsson, B. Waske, and L. Bruzzone. 2010. “Morphological Attribute Profiles for the Analysis of Very High Resolution Images.” IEEE Transactions on Geoscience and Remote Sensing 48 (10): 3747–3762. doi:10.1109/TGRS.2010.2048116.
   Web of Science ®Google Scholar
• Ran, Q., W. Li, and Q. Du. 2014. “Hyperspectral Image Classification with Improved Local-Region Filters.” Journal of Applied Remote Sensing 8 (1): 314–317. doi:10.1117/1.JRS.8.085088.
   Web of Science ®Google Scholar
• Soille, P. 2003. Morphological Image Analysis＊ Principles and Applications. 2nd ed. Secaucus, NJ: Springer-Verlag New York.
   Google Scholar
• Zhao, W., and S. Du. 2016. “Learning Multiscale and Deep Representations for Classifying Remotely Sensed Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 113 (2016): 155–165. doi:10.1016/j.isprsjprs.2016.01.004.
   Web of Science ®Google Scholar
• Zhou, L., and X. Zhang. 2015. “Discriminative Spatial-Spectral Manifold Embedding for Hyperspectral Image Classification.” Remote Sensing Letters 6 (9): 715–724. doi:10.1080/2150704X.2015.1069904.
   Web of Science ®Google Scholar