Difference between revisions of "Image Classification Tutorial using Orfeo Toolbox"

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Davidson, A. (2010). A Davidson's slides on Image Classification. GEOM 4003: ''Remote Sensing of the Environment.''
 
Davidson, A. (2010). A Davidson's slides on Image Classification. GEOM 4003: ''Remote Sensing of the Environment.''
   
  +
''Orfeo Toolbox.'' (2010). Orfeo Toolbox is not a black box.. Retrieved November 19, 2010 from http://www.orfeo-toolbox.org/otb/
''Tutorial: Fundamentals of Remote Sensing Image interpretations & analysis - Image Classification.'' (2008). Canada Centre for Remote Sensing. Retreived February 19, 2010 from http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/chapter4/07_e.php
 
  +
 
''Tutorial: Fundamentals of Remote Sensing Image interpretations & analysis - Image Classification.'' (2008). Canada Centre for Remote Sensing. Retreived November 19, 2010 from http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/chapter4/07_e.php
   
 
Zhang, R. & Ma, J. (2008). An improved SVM method P-SVM for classification of remotely sensed data. ''International Journal of Remote Sensing 29, 6029-6036''
 
Zhang, R. & Ma, J. (2008). An improved SVM method P-SVM for classification of remotely sensed data. ''International Journal of Remote Sensing 29, 6029-6036''

Revision as of 16:12, 28 November 2010

Disclaimer

Introduction

Background

Objective

Method

Data Access

Orfeo Toolbox

Quantum GIS

Conclusion

References

Davidson, A. (2010). A Davidson's slides on Image Classification. GEOM 4003: Remote Sensing of the Environment.

Orfeo Toolbox. (2010). Orfeo Toolbox is not a black box.. Retrieved November 19, 2010 from http://www.orfeo-toolbox.org/otb/

Tutorial: Fundamentals of Remote Sensing Image interpretations & analysis - Image Classification. (2008). Canada Centre for Remote Sensing. Retreived November 19, 2010 from http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/chapter4/07_e.php

Zhang, R. & Ma, J. (2008). An improved SVM method P-SVM for classification of remotely sensed data. International Journal of Remote Sensing 29, 6029-6036

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