Image Analysis, Classification, and Change Detection in Remote Sensing : With Algorithms for ENVI/IDL, Second Edition

Images, Arrays, and MatricesMultispectral Satellite ImagesAlgebra of Vectors and MatricesEigenvalues and Eigenvectors Singular Value DecompositionVector Derivatives Finding Minima and Maxima Image Statistics Random VariablesRandom Vectors Parameter EstimationHypothesis Testing and Sample Distribution FunctionsConditional Probabilities, Bayes' Theorem, and Classification Ordinary Linear RegressionEntropy and InformationTransformations Discrete Fourier Transform Discrete Wavelet TransformPrincipal ComponentsMinimum Noise FractionSpatial CorrelationFilters, Kernels, and Fields Convolution Theorem. Read more... Abstract: Covers such topics as basic Fourier transforms, wavelets, principle components, minimum noise fraction transformation, and othorectification. This book also discusses panchromatic sharpening, explores multivariate change detection, and examines supervised and unsupervised land cover classification and hyperspectral analysis. Read more...