… the key parameters calculating from covariance matrix in the PCA process. Suppose akp
represents the eigenvectors between the band k and its corresponding principal components, …

… were calculated using eddy covariance measurement by a CSAT3… carbon balance are likely
to cause significant change on … on light-use efficiency (LUE) are widely used in regional and …

… It might cause undetection or misdetection using single feature in change detection. Based
… Because structural similarity is derived from the mean, variance and covariance, and satisfies …

… Beginning at the sparse Bayesian theory, we analyze the detail … samples, it will usually cause
over fitting and the prediction will … the Gaussian distribution with mean zero and covariance …

… By using the statistical parameters ( mean vector and variance-covariance m … principle
and their p opularity within the remote sensing community is constantly i ncreasing because of …

… The land use type, elevation, and pollution source are utilized to further analyze the
cause of the spatial outliers. The distribution of pollution sources is present in Fig. 6. …

… analysis, the results are shown to be consistent with the predictions of agency theory: … ’s
(1980) procedure to correct the covariance matrix and get the asymptotic standard errors and …

… Lambertian and used narrowband-t o-broadband albedo conversions to produce land
surface albedo. In this paper,AB algorithm is used to calculate broadband TM albedo because it …

… It also involves an expectation that the other party will cause a positive outcome, despite the
… or Factor analysis in SPSS Output in Appendix) The principle component method was used …

… Meandering flow makes the river change its course and cause erosion of the banks. … and
Rk is the covariance matrix of the measurement errors. It is assumed that measurement errors …