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Titlebook: Remote Sensing Digital Image Analysis; An Introduction John A. Richards Book 19861st edition Springer-Verlag Berlin Heidelberg 1986 Analysi

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Fourier Transformation of Image Data,. 5. More flexibility is offered however if procedures are implemented in the so-called spatial frequency domain by means of the Fourier transformation. As a simple illustration, filters can be designed to extract periodic noise from an image that is unable to be removed by practical templates. As d
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Supervised Classification Techniques,thms to label the pixels in an image as representing particular ground cover types, or classes. A variety of algorithms is available for this, ranging from those based upon probability distribution models for the classes of interest (such as outlined in Chap. 3) to those in which the multispectral s
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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 classifiication, the procedure most often preferred, the cost increase with features is quadratic. Therefore it is sensible
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ystems today, and is expected to escalate sharply in the future. Many studies have shown that up to 70% of the design development time and resources are spent on functional verification. Functional errors manifest themselves very early in the design flow, and unless they are detected up front, they
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John A. Richardsystems today, and is expected to escalate sharply in the future. Many studies have shown that up to 70% of the design development time and resources are spent on functional verification. Functional errors manifest themselves very early in the design flow, and unless they are detected up front, they
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John A. Richardsystems today, and is expected to escalate sharply in the future. Many studies have shown that up to 70% of the design development time and resources are spent on functional verification. Functional errors manifest themselves very early in the design flow, and unless they are detected up front, they
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