Titlebook: Remote Sensing Digital Image Analysis; An Introduction John A. Richards Textbook 20135th edition Springer-Verlag Berlin Heidelberg 2013 eco

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ed to reflect new developments in the field.Problems are giv.Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of the book there have been significant de

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Spectral Domain Image Transforms, preserve most of the essential information content of the original image using a reduced number of the transformed dimensions. The last point has significance for displaying data in the three colour primaries, and for compressed transmission and storage of data.

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Ancillary

Spectral Domain Image Transforms,s from the old, and thereby create synthetic image components, or bands, as shown in Fig.?.. They represent an alternative description of the data. The new components are related to the old brightness values of the pixels in the original set of spectral bands via a mathematical operation, which is u

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Spatial Domain Image Transforms,ng over adjacent groups of pixels to reduce noise, and looking at local spatial gradients to enhance edge and line features, are examples. There are, however, more sophisticated approaches for processing the spatial domain properties of an image. The most recognisable is probably the Fourier transfo

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Supervised Classification Techniques,egmenting the spectral domain into regions that can be associated with the ground cover classes of interest to a particular application. In practice those regions may sometimes overlap. A variety of algorithms is available for the task, and it is the purpose of this chapter to cover those most commo