Classification methods for remotely sensed data:
"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 no...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2025
|
| Ausgabe: | Third edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781040099117/?ar |
| Zusammenfassung: | "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"-- |
| Beschreibung: | Revised edition of: Classification methods for remotely sensed data / Brandt Tso, Paul M. Mather. 2nd ed. 2009. - Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher; resource not viewed |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781003439172 1003439179 9781040099056 104009905X 9781040099117 1040099114 |
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| 520 | |a "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"-- | ||
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | Third edition. |
| format | Electronic eBook |
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| spelling | Kavzoglu, Taskin VerfasserIn aut Classification methods for remotely sensed data Taskin Kavzoglu, Brandt Tso, and Paul M. Mather Third edition. 2408 Boca Raton, FL CRC Press 2025 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Revised edition of: Classification methods for remotely sensed data / Brandt Tso, Paul M. Mather. 2nd ed. 2009. - Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher; resource not viewed "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"-- Remote sensing Pattern recognition systems Télédétection Reconnaissance des formes (Informatique) remote sensing TECHNOLOGY / Remote Sensing TECHNOLOGY / Imaging Systems SCIENCE / Earth Sciences / General Tso, Brandt VerfasserIn aut Mather, Paul M. VerfasserIn aut 9781032573939 Erscheint auch als Druck-Ausgabe 9781032573939 |
| spellingShingle | Kavzoglu, Taskin Tso, Brandt Mather, Paul M. Classification methods for remotely sensed data Remote sensing Pattern recognition systems Télédétection Reconnaissance des formes (Informatique) remote sensing TECHNOLOGY / Remote Sensing TECHNOLOGY / Imaging Systems SCIENCE / Earth Sciences / General |
| title | Classification methods for remotely sensed data |
| title_auth | Classification methods for remotely sensed data |
| title_exact_search | Classification methods for remotely sensed data |
| title_full | Classification methods for remotely sensed data Taskin Kavzoglu, Brandt Tso, and Paul M. Mather |
| title_fullStr | Classification methods for remotely sensed data Taskin Kavzoglu, Brandt Tso, and Paul M. Mather |
| title_full_unstemmed | Classification methods for remotely sensed data Taskin Kavzoglu, Brandt Tso, and Paul M. Mather |
| title_short | Classification methods for remotely sensed data |
| title_sort | classification methods for remotely sensed data |
| topic | Remote sensing Pattern recognition systems Télédétection Reconnaissance des formes (Informatique) remote sensing TECHNOLOGY / Remote Sensing TECHNOLOGY / Imaging Systems SCIENCE / Earth Sciences / General |
| topic_facet | Remote sensing Pattern recognition systems Télédétection Reconnaissance des formes (Informatique) remote sensing TECHNOLOGY / Remote Sensing TECHNOLOGY / Imaging Systems SCIENCE / Earth Sciences / General |
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