参考文献:
[1] Du, P. J., Xia, J. S., Xue, Z. H., et al. Review of hyperspectral remote sensing image classification [J]. Journal of Remote Sensing, 2016, 20(2): 236-256.
     [2] Huang, S. G., Zhang, H. Y., Pizurica, A. A robust sparse representation model for hyperspectral image classification [J]. Sensors, 2017, 17(9): 2087.DOI: 10.3390/s17092087.
     [3] Jia, J. X., Wang, Y. M., Cheng, X. Y., et al. Destriping algorithms based on statistics and spatial filtering for visible-to-thermal infrared pushbroom hyperspectral imagery [J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 57(6): 4077-4091. DOI: 10.1109/TGRS.2018.2889731.
     [4] Jin, Q. H., Zhu, L. L., Zhang, L. X., et al. Examples of using hyperspectral remote sensing technology for mineral resource evaluation and mining environment monitoring [J]. Geological Bulletin of China, 2009, 28(2): 278-284.
     [5] Li, X. K., Wu, T. X., Liu, K., et al. Evaluation of the Chinese fine spatial resolution hyperspectral satellite TianGong-1 in urban land-cover classification [J]. Remote Sensing, 2016, 8(5): 438. DOI: 10.3390/rs8050438.
     [6] Tong, Q. X., Xue, Y. Q., Zhang, L. F. Progress in hyperspectral remote sensing science and technology in china over the past three decades [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(1): 70-91. DOI: 10.1109/JSTARS.2013.2267204.
     [7] Tong, Q. X., Zhang, B., Zhang, L. F. Current progress of hyperspectral remote sensing in China [J]. Journal of Remote Sensing, 2016, 20(5): 689-707.
     [8] Wang, Y. M., Jia, J. X., He, Z. P., et al. Key technologies of advanced hyperspectral imaging system [J]. Journal of Remote Sensing, 2016, 20(5): 850-857.
     [9] Zhang, L. F., Jiao, W. Z., Zhang, H. M., et al. Studying drought phenomena in the Continental United States in 2011 and 2012 using various drought indices [J]. Remote Sensing of Environment, 2017, 190: 96-106. DOI: 10.1016/j.rse.2016.12.010.
     [10] Zhang, L. F., Zhang, L. P., Tao, D. C., et al. On combining multiple features for hyperspectral remote sensing image classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(3): 879-893. DOI: 10.1109/TGRS.2011.2162339.
     [11] Zhang, X., Sun, Y. L., Shang, K., et al. Crop classification based on feature band set construction and object-oriented approach using hyperspectral images [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(9): 4117-4128. DOI: 10.1109/JSTARS.2016.2577339.
     [12] Zhang, X., Zhang, B., Zhang, L. F., et al. Hyperspectral remote sensing dataset for tea farm [J]. Global Change Data Repository [DB/OL], 2017. DOI: 10.3974/geodb.2017.03.04.V1.
     [13] Zhao, B., Zhong, Y. F., Zhang, L. P. A spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery [C]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 116: 73-85. DOI: 10.1016/j.isprsjprs.2016.03.004.
     [14] Zhong, Y. F., Wu, Y. Y., Xu, X., et al. An adaptive subpixel mapping method based on MAP model and class determination strategy for hyperspectral remote sensing imagery [J]. IEEE Transactions on Geoscience and Remote Sensing [J], 2015, 53(3): 1411-1426. DOI: 10.1109/TGRS.2014.2340734.