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PRISE
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Image Classification in Practice,o do now is to see how those techniques can be put into methodologies that make the classification task efficient and accurate. Using an appropriate methodology is probably one of the most important considerations in applying classification to data recorded by imaging sensors, and is often overlooke
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Multisource Image Analysis,ficient for straightforward applications. However, the ability to interpret what is on the ground is often enhanced considerably when more than one type of spatial data is employed. For example, a combination of multispectral or hyperspectral data with radar imagery has been shown to be a particular
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Sources and Characteristics of Remote Sensing Image Data,In remote sensing energy emanating from the earth’s surface is measured using a sensor mounted on an aircraft or spacecraft platform. That measurement is used to construct an image of the landscape beneath the platform, as depicted in Fig. 1.1.
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Correcting and Registering Images,When image data is recorded by sensors on satellites and aircraft it can contain errors in geometry, and in the measured brightness values of the pixels. The latter are referred to as . and can result from (i) the instrumentation used to record the data (ii) the wavelength dependence of solar radiation and (iii) the effect of the atmosphere.
Expurgate
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John A. RichardsComprehensive treatment of the entire spectrum of acquisition, analysis and processing of remotely sensed data.Completely revised and enlarged to reflect new developments in the field.Problems are giv
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978-3-642-44101-1Springer-Verlag Berlin Heidelberg 2013
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