Titlebook: Remote Sensing Digital Image Analysis; An Introduction John A. Richards Textbook 19932nd edition Springer-Verlag Berlin Heidelberg 1993 Dig

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四溢

Error Correction and Registration of Image Data,s. The latter are referred to as radiometric errors and can result from the instrumentation used to record the data and from the effect of the atmosphere. Image geometry errors can arise in many ways. The relative motions of a satellite, its scanners and the earth, for example, can lead to errors of

hankering

compassion

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consent

Multispectral Transformations of Image Data,e components or bands. These components then represent an alternative description of the data, in which the new components of a pixel vector are related to its old brightness values in the original set of spectral bands via a linear operation. The transformed image may make evident features not disc

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Supervised Classification Techniques,age data. These are collected in Part I. When data from a variety of sensors or sources (such as found in the integrated spatial data base of a Geographical Information System) requires analysis, or when the spatial resolution of a sensor is sufficiently high to warrant attention being paid to neigh

VEIL

Clustering and Unsupervised Classification,f interest. This is necessary since each class is to be modelled by a normal probability distribution, as discussed in Chap. 8. If a class happens to be multimodal, and this is not resolved, then clearly the modelling cannot be very effective.

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Feature Reduction,nds associated with a pixel. For classifiers such as the parallelepiped and minimum distance procedures this is a linear increase with features; however for maximum likelihood classification, the procedure most often preferred, the cost increase with features is quadratic. Therefore it is sensible e