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...
| Main Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton
CRC Press, Taylor & Francis Group
2025
|
| Edition: | Third edition |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "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"-- |
|---|---|
| Item Description: | Revised edition of: Classification methods for remotely sensed data / Brandt Tso, Paul M. Mather. 2nd ed. 2009 |
| Physical Description: | 1 online resource |
| ISBN: | 9781003439172 1040099114 1003439179 9781040099117 |