Data Dimension Reduction and Band Selection using Canopy Spectral Invariants (CSI) Concept
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Shengli Wu | Guoqing Sun | Zhifeng Guo | Yong Pang | Dianzhong Wang | Y. Pang | Guoqing Sun | Zhifeng Guo | Shengli Wu | Dianzhong Wang | G. Sun
[1] A. Strahler,et al. A review of reflectance nomenclature used in remote sensing , 2000 .
[2] T. Vesala,et al. Advantages of diffuse radiation for terrestrial ecosystem productivity , 2002 .
[3] Ranga B. Myneni,et al. A new parameterization of canopy spectral response to incident solar radiation: case study with hyperspectral data from pine dominant forest , 2003 .
[4] M. A Cutter. A low cost hyperspectral mission , 2004 .
[5] Qilong Min,et al. Impacts of aerosols and clouds on forest‐atmosphere carbon exchange , 2005 .
[6] Y. Knyazikhin,et al. 3D Radiative Transfer in Vegetation Canopies and Cloud-Vegetation Interaction , 2005 .
[7] P. Stenberg,et al. Simple parameterizations of the radiation budget of uniform broadleaved and coniferous canopies , 2005 .
[8] K. Ranson,et al. Predicting lidar measured forest vertical structure from multi-angle spectral data , 2006 .
[9] S. Ganguly,et al. Physical interpretation of the correlation between multi‐angle spectral data and canopy height , 2007 .
[10] Philip Lewis,et al. Canopy spectral invariants for remote sensing and model applications , 2007 .
[11] Ranga B. Myneni,et al. Stochastic transport theory for investigating the three-dimensional canopy structure from space measurements , 2008 .