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Previous Approaches to Sensor Design
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algorithm class class class coefficients vs wavelength computed correct classification Correlation coefficients covariance matrix data sets dimensionality EIGENVECTOR 3 EIGENVECTOR ensemble Estimate of probability evaluate expected mean-square error Finney County four optimal basis Gaussian graph ground resolution element HRVELENGTH IEEE IEEE Trans IHICROHETERSI EIGENVECTOR information classes June 29 l0 Optimal Features Laboratory for Applications Landgrebe linear mean vectors mean-square representation error multispectral noise number of samples number of terms optimal basis functions optimal sensor pattern recognition pattern recognition system practical sensor probability of correct procedure processor Proposed Sensor Design Purdue University random Remote Sensing sample functions scanner scene sensor system September 28 set of basis six data sets spectral bands spectral channels spectral interval spectral representation spectral response functions spectral sampling spectrum statistics stochastic process stratum subintervals Suboptimal Sensor SUBROUTINE twelve eigenvectors variance water absorption bands weight function number West Lafayette WHEAT Williams County