Titlebook: Remote Sensing Digital Image Analysis; An Introduction John A. Richards,Xiuping Jia Textbook 19993rd edition Springer-Verlag Berlin Heidelb

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Feature Reduction,eatures is referred to as feature selection, this being one form of feature reduction. The other is to transform the pixel vector into a new set of co-ordinates in which the features that can be removed are made more evident. Both procedures are considered in some detail in this Chapter.

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Image Classification Methodologies,nsupervised classification are examined from an operational point of view, with their strengths and weaknesses highlighted. These approaches are often acceptable; however more often a judicious combination of the two will be necessary to attain optimal results. A hybrid supervised/unsupervised strategy is therefore also presented.

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Error Correction and Registration of Image Data,rs and the earth, for example, can lead to errors of a skewing nature in an image product. Non-idealities in the sensors themselves, the curvature of the earth and uncontrolled variations in the position and attitude of the remote sensing platform can all lead to geometric errors of varying degrees of severity.

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Fourier Transformation of Image Data,emonstrated in Sect. 5.4 the computational cost of using Fourier transformation for geometric operations is high by comparison to the template methods usually employed. However with the computational capacity of modern workstations, and the flexibility available in Fourier transform processing, this approach is one that should not be ignored.

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Springer-Verlag Berlin Heidelberg 1999

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Radiometric Enhancement Techniques, differences in vegetation and soil types, for example, may be brought out by increasing the contrast of an image. In a similar manner subtle differences in brightness value can be highlighted either by contrast modification or by assigning quite different colours to those levels. The latter method is known as colour density slicing.

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Geometric Enhancement Using Image Domain Techniques,he image data directly and could be called image domain techniques. These are alternatives to procedures used in the spatial frequency domain which require Fourier transformation of the image beforehand. Those are treated in Chap. 7.

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