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  <titleInfo>
    <title>Classification methods for remotely sensed data</title>
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  <name type="personal">
    <namePart>Kavzoglu, Taskin</namePart>
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    <namePart>Tso, Brandt</namePart>
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  <name type="personal">
    <namePart>Mather, Paul M.</namePart>
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    <dateIssued encoding="marc">2025</dateIssued>
    <edition>Third edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>"The third edition of the bestselling Classification Methods for Remotely Sensed Data covers recent developments in the optimization of existing and new algorithms and presents new analysis tools and metrics together with ongoing debates on accuracy assessment strategies and metrics that did not exist 10 years ago. It is thoroughly updated and provides four new chapters on object-based image analysis, a new paradigm in image processing and classification. In object-based image analysis, hyperparameter optimization techniques are used to ensure that the highest possible accuracy is achieved by the algorithm"--</abstract>
  <note type="statement of responsibility">Taskin Kavzoglu, Brandt Tso, and Paul M. Mather.</note>
  <note>Revised edition of: Classification methods for remotely sensed data / Brandt Tso, Paul M. Mather. 2nd ed. 2009.</note>
  <subject authority="lcsh">
    <topic>Remote sensing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Pattern recognition systems</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY / Remote Sensing</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY / Imaging Systems</topic>
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  <subject authority="bisacsh">
    <topic>SCIENCE / Earth Sciences / General</topic>
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