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

Remote Sensing Letters

Volumn 8, Issue 10, 2017, Pages 957-966

  Zhang, Mengmeng ^a   Ghamisi, Pedram ^b,c   Li, Wei ^a  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; OPTICAL RADAR; SPECTROSCOPY;

CLASSIFICATION FRAMEWORK; DIGITAL SURFACE MODELS; EXTINCTION PROFILES; HEIGHT MEASUREMENT; HYPERSPECTRAL DATA; LIGHT DETECTION AND RANGING; SPECTRAL INFORMATION; UNIVERSITY OF HOUSTON;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; EXPERIMENTAL STUDY; IMAGE CLASSIFICATION; LIDAR; SPECTRAL ANALYSIS; URBAN AREA; WAVELENGTH;

HOUSTON; TEXAS; UNITED STATES;

EID: 85020532300     PISSN: 2150704X     EISSN: 21507058     Source Type: Journal    
DOI: 10.1080/2150704X.2017.1335902     Document Type: Article

References (20)

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. Soille, P., 2003. Morphological Image Analysis＊ Principles and Applications. 2nd ed. Secaucus, NJ:Springer-Verlag New York.
19. 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.
20. 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.