Impact of collinearity on linear and nonlinear spectral mixture analysis
暂无分享,去创建一个
Jin Chen | Xiuping Jia | Jin Wu | Xuehong Chen | Jin Chen | X. Jia | Xuehong Chen | Jin Wu
[1] Xiuping Jia,et al. Integration of Soft and Hard Classifications Using Extended Support Vector Machines , 2009, IEEE Geoscience and Remote Sensing Letters.
[2] Paul E. Johnson,et al. Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 Site , 1986 .
[3] S. M. Jong,et al. Improving the results of spectral unmixing of Landsat thematic mapper imagery by enhancing the orthogonality of end-members , 2000 .
[4] T. Hassard,et al. Applied Linear Regression , 2005 .
[5] John F. Mustard,et al. Spectral unmixing , 2002, IEEE Signal Process. Mag..
[6] S. Gerstl,et al. Nonlinear spectral mixing models for vegetative and soil surfaces , 1994 .
[7] W. Verstraeten,et al. Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards , 2009 .
[8] T. W. Ray,et al. Nonlinear Spectral Mixing in Desert Vegetation , 1996 .
[9] Daoji Li,et al. Study of the spectral mixture model of soil and vegetation in PoYang Lake area, China , 1998 .
[10] Chein-I Chang,et al. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..
[11] Jin Chen,et al. Generalization of Subpixel Analysis for Hyperspectral Data With Flexibility in Spectral Similarity Measures , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[12] S. Weisberg. Applied Linear Regression , 1981 .