Hyperspectral Characteristic Band Selection and Spectral Classification of Five Typical Vegetation in Poyang Lake

Zeng Shuai; Kuang Runyuan; Chen Yanbing

doi:10.3788/lop54.123002

[1] Yu Yang, Zhao Nanjing, Wang Yin, et al. Research on the characteristics of lead contained in lead slime by laser-induced breakdown spectroscopy［J］. Chinese J Lasers, 2014, 41(7): 0715001.

[2] Guo Yulong, Li Yunmei, Wang Qiao, et al. A new water chlorophyll-a index and analysis of its application potential［J］. Acta Optica Sinica, 2015, 35(11): 1101003.

[3] Zhang Dong, Tashpolat·Tiyip, Zhang Fei, et al. Effect of fractional differential algorithm on hyperspectral data of saline soil［J］. Acta Optica Sinica, 2016, 36(3): 0330002.

[4] Tong Q X, Xue Y Q, Zhang L F. Process in hyperspectral remote sensing science and technology in China over the past three decades［J］. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2014, 7(1): 70-91.

[5] Chen Yonggang, Ding Lixia, Ge Hongli, et al. Hyperspectral feature band selection based on mean confidence interval and tree species discrimination［J］. Spectroscopy and Spectral Analysis, 2011, 31(9): 2462-2466.

[6] Liu Xuehua, Sun Yan, Wu Yan. Reduction of hyperspectral dimensions and construction of discriminating models for identifying wetland plant species［J］. Spectroscopy and Spectral Analysis, 2012, 32(2): 459-464.

[7] Dian Y Y, Fang S H, Le Y, et al. Comparison of the difference classifiers in vegetation species discrimination using hyperspectral reflectance data［J］. Journal of the Indian Society of Remote Sensing, 2014, 42(1): 61-72.

[8] Kumar M N, Seshasai M V R, Prasad K S V, et al. A new hybid spectral similarity measure for discrimination among Vigna species［J］. International Journal of Remote Sensing, 2011, 32(14): 4041-4053.

[9] Kong X B, Shu N, Tao J B, et al. A new spectral similarity measure based on multiple features integration［J］. Spectroscopy and Spectral Analysis, 2011, 31(8): 2166-2170.

[10] Zhang Junzhe, Zhu Wenquan, Zheng Zhoutao, et al. Comparative study on similarity measures of hyperspectral remote sensing data［J］. Science of Surveying and Mapping, 2013, 38(6): 33-36.

[13] Dundar M M, Landgrebe D A. Toward an optimal supervised classifier for the analysis of hyperspectral data［J］. IEEE Transaction on Geoscience and Remote Sensing, 2004, 42(1): 271-277.

[14] Jain A K, Duin R, Mao J C. Statistical pattern recognition: a review［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(1): 4-37.

[15] Lin Haijun, Zhang Huifen, Gao Yaqi, et al. Mahalanobis distance based hyperspectral characteristic discrimination of leaves of different desert tree species［J］. Spectroscopy and Spectral Analysis, 2014, 34(12): 3358-3362.

[16] Kruse F A, Lefkoff A B, Boardman J W, et al. The spectral image processing system (SIPS)-interactive visualization and analysis of imaging spectrometer data［J］. Remote Sensing of Environment, 1993, 44(2/3): 145-163.

[17] Vandermeer F, Bakker W. Cross correlogram spectral matching: application to surface mineralogical mapping by using AVIRIS data from Cuprite, Nevada［J］. Remote Sensing of Environment, 1997, 61(3): 371-382.

[18] Sun Yanli, Zhang Xia, Shuai Tong, et al. Radiometric normalization of hyperspectral satellite images with spectral angle distance and Euclidean distance［J］. Journal of Remote Sensing, 2015, 19(4): 618-626.