Titlebook: Remote Sensing Digital Image Analysis; An Introduction John A. Richards,Xiuping Jia Textbook 20064th edition Springer-Verlag Berlin Heidelb

預(yù)測

by construction. Not only the completed generated code always compiles; code fragments with a variable escaping its scope are detected already during code generation. MetaOCaml has been employed for compiling domain-specific languages, generic programming, automating tedious specializations in high

Yag-Capsulotomy

ith decidable constraint languages, thereby subsuming Prolog restricted to equality constraints over the Herbrand’s term domain. This approach has proven extremely successful in solving combinatorial problems in the industry which quickly led to the development of a variety of constraint solving lib

CHART

ith decidable constraint languages, thereby subsuming Prolog restricted to equality constraints over the Herbrand’s term domain. This approach has proven extremely successful in solving combinatorial problems in the industry which quickly led to the development of a variety of constraint solving lib

六邊形

by construction. Not only the completed generated code always compiles; code fragments with a variable escaping its scope are detected already during code generation. MetaOCaml has been employed for compiling domain-specific languages, generic programming, automating tedious specializations in high

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PARA

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. Each chapter covers the pros and cons of digital remotely sensed

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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,from a variety of sensors or sources (such as found in the integrated spatial data base of a Geographical Information System) requires analysis, more sophisticated tools may be required. These are the subject of Chap. 12 which deals with the topic of Multisource Classification.

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