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

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John A. Richardschniques for electron microscopy because it is high level by the great microscopists of the era including less technically demanding and is more readily available Palade, Porter, Fawcett, Sjostrand, Rhodin and many to researchers. This atlas reminds us that the infor- others. At present, the images

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Supervised Classification Techniques, methods, in the sense of establishing boundaries rather than having anything to do with difficulty in their use. Often the data from a . of sensors is available to help in the analysis task. Classification methods suited to multi-sensor or multi-source analysis are the subject of Chap. 12.

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Textbook 20135th editiony great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background.  .Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algori

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Radiometric Enhancement of Images,ces in brightness value by applying contrast modification, or by assigning different colours to different brightnesses in the method known as colour density slicing, will often reveal features not otherwise easily seen.

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Feature Reduction,d be relevant for water studies, unless the water were especially turbid. Furthermore, unless the actual reflectance spectrum of the water was essential for the task at hand, it may not even be necessary to use all the contiguous bands recorded in the range 0.4–1.0 μm; instead, a representative subset may be sufficient in most cases.

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