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Titlebook: Remote Sensing Digital Image Analysis; John A. Richards Textbook 2022Latest edition The Editor(s) (if applicable) and The Author(s), under

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Feature Reduction,d to describe the pixel vectors. The range of commonly employed feature reduction techniques are presented including those based on transforming the data beforehand, those that exploit the correlations between near-neighbouring bands (or features) and those based on measures that allow the least sig
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Textbook 2022Latest editiond image data.  Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same.  As with its predecessors this new edition again presents material
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Interpreting Images,ectral space are presented as the fundamental description of image data that underpins the mathematical models developed later. Statistical and geometric approaches to classification are summarised and the important distinction between information (on the ground) and spectral classes (in the data) is emphasised.
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Multisource Image Analysis,nt qualities, they may not be available at the same time and they each may have their own optimal methods for analysis. Rather than data fusion, fusion at the label (information class) level is suggested as the most effective methodology.
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Spatial Domain Image Transforms,volution, including in two dimensions, is then introduced both as a basis for developing sampling theory and for understanding the theoretical origin of the spatial domain geometric processing techniques of Chap. .. Examples are presented to consolidate the material developed, before moving on to consider an introduction to the wavelet transform.
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f diverse areas of technology and science such as Materials In recent years, there has been a convergence of fundamental materials science and materials processing methods. This convergence, although highly interdisciplinary in nature, has been brought about by technologies such as bandgap engineeri
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