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Remote Sensing Letters

RVM‐based multi‐class classification of remotely sensed data

Pages 1817-1823 | Received 22 May 2007, Accepted 18 Nov 2007, Published online: 28 Feb 2008

References

  • Bazi , Y. and Melgani , F. 2006 . Toward an optimal SVM classification for hyperspectral remote sensing images. . IEEE Transactions on Geoscience and Remote Sensing , 44 : 3374 – 3385 .
  • Bowd , C. , Medeiros , F. A. , Zhang , Z. , Zangwill , L. M. , Hao , J. Lee , T‐W. 2005 . Relevance vector machine and support vector machine classifier analysis of scanning laser polarimetry retinal nerve fiber layer measurements. . Investigative Ophthalmology and Visual Science , 46 : 1322 – 1329 .
  • Camps‐Valls , G. , Gomez‐Chova , L. , Munoz‐Mari , J. , Vila‐Frances , J. , Amoros‐Lopez , J. and Calpe‐Maravilla , J. 2006 . Retrieval of oceanic chlorophyll concentration with relevance vector machines. . Remote Sensing of Environment , 105 : 23 – 33 .
  • Chen , Z. and Tang , H. 2005 . Sparse Bayesian approach to classification. . IEEE Networking, Sensing and Control Proceedings , : 914 – 917 .
  • Demir , B. and Erturk , S. 2007 . Hyperspectral image classification using relevance vector machines. . IEEE Geoscience and Remote Sensing Letters , 4 : 586 – 590 .
  • Foody , G. M. 2002 . Status of land cover classification accuracy assessment. . Remote Sensing of Environment , 80 : 185 – 201 .
  • Foody , G. M. 2004 . Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. . Photogrammetric Engineering and Remote Sensing , 70 : 627 – 633 .
  • Foody , G. M. 2008 . Harshness in image classification accuracy assessment. . International Journal of Remote Sensing , in press
  • Foody , G. M. and Mathur , A. 2004a . A relative evaluation of multiclass image classification by support vector machine. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 1335 – 1343 .
  • Foody , G. M. and Mathur , A. 2004b . Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification. . Remote Sensing of Environment , 93 : 107 – 117 .
  • Foody , G. M. , Mathur , A. , Sanchez‐Hernandez , C. and Boyd , D. S. 2006 . Training set size requirements for the classification of a specific class. . Remote Sensing of Environment , 104 : 1 – 14 .
  • Hsu , C. W. and Lin , C. J. 2002 . A comparison of methods for multiclass support vector machines. . IEEE Transactions on Neural Networks , 13 : 415 – 425 .
  • Huang , C. , Davis , L. S. and Townshend , J. R. G. 2002 . An assessment of support vector machines for land cover classification. . International Journal of Remote Sensing , 23 : 725 – 749 .
  • Mathur , A. and Foody , G. M. 2008 . Crop classification by a SVM with intelligently selected training data for an operational application. . International Journal of Remote Sensing , in press
  • Melgani , F. and Bruzzone , L. 2004 . Classification of hyperspectral remote sensing images with support vector machines. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 1778 – 1790 .
  • Pal , M. and Mather , P. M. 2004 . Assessment of the effectiveness of support vector machines for hyperspectral data. . Future Generation Computer Systems , 20 : 1215 – 1225 .
  • Pal , M. and Mather , P. M. 2005 . Support vector machines for classification in remote sensing. . International Journal of Remote Sensing , 26 : 1007 – 1011 .
  • Tipping , M. E. 2001 . Sparse Bayesian learning and the relevance vector machine. . Journal of Machine Learning Research , 1 : 211 – 244 .
  • Wilkinson , G. G. 2005 . Results and implications of a study of fifteen years of satellite image classification experiments. . IEEE Transactions on Geoscience and Remote Sensing , 43 : 433 – 440 .
  • Zhang , H. and Malik , J. 2005 . Selecting shape features using multi‐class relevance vector machine. . Technical Report UCB/EECS‐2006‐6, Electrical Engineering and Computer Sciences, University of California at Berkeley, USA

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