4Camps-Vails G, Shervashidze N, Borgwardt K M. Spatio-spectral remote sensing image classification with graph kernels[ J]. IEEE Geoscience and Remote Sensing, 2010, 7(d-) : 741-745.
5Das S K, Singh R. Performance of Kriging-based soft classification on WiFS/IRS-I D image using ground hyperspectral signatures [J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(3): 455 -457.
6Nidamanuri R R, Zbell B. Normalized spectral similarity score (NS3) as an effieient spectral library searching method for hyperspectral image classification[ J ]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011 , 4(1): 226-240.
7Meigs G W, Kennedy R E, Cohen W B. A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests [ J ]. Remote Sensing of Environment, 2011, 115 ( 12 ) : 3 707 - 3 718.
8Heikkinen V, Korpela 1, Tokola T, et al. An SVM classification of tree species radiometrie signatures based on the Leiea ADS40 sensor[ J ]. IEEE Transactions on Geoseience and Remote Sensing, 2011, 49 ( 11 ) : 4 539 - 4 551.
9Hilker T, Coops N C, Coggins S B, et al. Detection of foliage conditions and disturbance from multi-angular high spectral resolution remote sensing[ J]. Remote Sensing of Environment, 2009, 113 (2) : 421 - 434.
10Demir B, Erturk S. Empirical mode decomposition of hyperspectral images for support vector machine classification[ J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48( 11 ): 4 071 -4 084.
