References
- Atkinson , P.M. and Lewis , P. 2000 . Geostatistical classification for remote sensing: an introduction . Computers and Geosciences , 26 : 361 – 371 .
- Badhwar , G.D. , Carnes , J.G. and Austin , W.W. 1982 . Use of Landsat-derived temporal profiles for corn-soybean feature extraction and classification . Remote Sensing of Environment , 12 : 57 – 79 .
- Barducci , A. , Guzzi , D. , Marcoionni , P. and Pippi , I. CHRIS-PROBA performance evaluation: signal-to-noise ratio, instrument efficiency and data quality from acquisitions over San Rossore (Italy) test site . Proceedings of 3rd ESA CHRIS/PROBA Workshop . March 21–23 2005 , Frascati, Italy. pp. SP-593 ESRIN .
- Bazi , Y. and Melgani , F. 2006 . Towards an optimal SVM classification system for hyperspectral remote sensing images . IEEE Transactions on Geoscience and Remote Sensing , 44 : 3374 – 3385 .
- Berberoglu , S. , Lloyd , C.D. , Atkinson , P.M. and Curran , P.J. 2000 . The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean . Computers and Geosciences , 26 : 385 – 396 .
- Boser , B.E. , Guyon , I.M. and Vapnik , V.N. A training algorithm for optimal margin classifiers . Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory . July 27–29 1992 , Pittsburgh, PA. pp. 144 – 152 . New York : ACM .
- Buddenbaum , H. , Schlerf , M. and Hill , J. 2005 . Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods . International Journal of Remote Sensing , 26 : 5453 – 5465 .
- Camps-Valls , G. , Gomez-Chova , L. , Muñoz-Marí , J. , Vila-Francés , J. and Calpe-Maravilla , J. 2006 . Composite kernels for hyperspectral image classification . IEEE Geoscience and Remote Sensing Letters , 3 : 93 – 97 .
- Chica-Olmo , M. and Abarca-Hernândez , F. 2000 . Computing geostatistical image texture for remotely sensed data classification . Computers and Geosciences , 26 : 373 – 383 .
- Clark , I. , Basinger , K.L. and Harper , W.V. MUCK – a novel approach to cokriging . Proceedings of the Conference on Geostatistical, Sensitivity and Uncertainty Methods for Ground-Water Flow and Radionuclide Transport Modelling . September 15–17 1987 , San Francisco, CA. pp. 473 – 493 . Columbus, , OH : Battelle Press .
- Cohen , W.B. , Spies , T.A. and Bradshaw , G.A. 1990 . Semivariograms of digital imagery for analysis of conifer canopy structure . Remote Sensing of Environment , 34 : 167 – 178 .
- Congalton , R.G. and Green , K. 1999 . Assessing the Accuracy of Remotely Sensed Data: Principles and Practice , 49 – 53 . Boca Raton, FL : Lewis Publishers, CRC Press .
- Csaplovics , E. 1992 . Analysis of colour infrared aerial photography and SPOT satellite data for monitoring land cover change of a heathland region of the Causse du Larzac (Massif Central, France) . International Journal of Remote Sensing , 13 : 441 – 460 .
- Curran , P.J. and Atkinson , P.M. 1998 . Geostatistics and remote sensing . Progress in Physical Geography , 22 : 61 – 78 .
- Duca , R. and Frate , F.D. 2008 . Hyperspectral and multiangle CHRIS–PROBA images for the generation of land cover maps . IEEE Transactions on Geoscience and Remote Sensing , 46 : 2857 – 2866 .
- ESA, CHRIS data format, Doc: 271.DO.13, Issue: 4.2, Date: 29/3/2005. http://earth.esa.int/pub/ESA_DOC/Chris_Data_Format_Issue4-2.pdf (http://earth.esa.int/pub/ESA_DOC/Chris_Data_Format_Issue4-2.pdf) (Accessed: 20 August 2008 ).
- Foody , G.M. and Mathur , A. 2004 . A relative evaluation of multiclass image classification by support vector machines . IEEE Transactions on Geoscience and Remote Sensing , 42 : 1335 – 1343 .
- Franklin , S.E. and McDermid , G.J. 1993 . Empirical relations between digital SPOT HRV and CASI spectral response and lodgepole pine (Pinus contorta) forest stand parameters . International Journal of Remote Sensing , 14 : 2331 – 2348 .
- Garcia , J.C. and Moreno , J. Removal of noises in CHRIS/PROBA images: application to the SPARC campaign data . Proceedings of 2nd CHRIS/PROBA Workshop . April 28–30 2004 , Frascati, Italy. pp. SP-578 ESA/ESRIN .
- Gautama , S. and Heene , G. Multitemporal texture analysis using co-occurrence matrices in SAR imagery . Proceedings of the IASTED International Conference on Signal and Image Processing . October 27–31 1998 , Las Vegas, NV. pp. 403 – 407 . Anaheim, CA : IASTED/ACTA Press .
- Green , A.A. , Berman , M. , Switzer , P. and Craig , M.D. 1988 . A transformation for ordering multispectral data in terms of image quality with implications for noise removal . IEEE Transactions on Geoscience and Remote Sensing , 26 : 65 – 74 .
- Gualtieri , J.A. and Cromp , R.F. 1999 . Support vector machines for hyperspectral remote sensing classification . Proceedings of SPIE, the International Society for Optical Engineering , 3584 : 221 – 232 .
- Guerschman , J.P. , Paruelo , J.M. , Bella , C.D. , Giallorenzi , M.C. and Pacin , F. 2003 . Land cover classification in the Argentine Pampas using multi-temporal Landsat TM data . International Journal of Remote Sensing , 24 : 3381 – 3402 .
- Guyon , L. , Weston , J. , Barnhill , S. and Vapnik , V. 2002 . Gene selection for cancer classification using support vector machines . Machine Learning , 46 : 389 – 422 .
- 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 .
- Hughes , G.F. 1968 . On the mean accuracy of statistical pattern recognizers . IEEE Transactions on Information Theory , 14 : 55 – 63 .
- Jain , A. and Healey , G. 1998 . A multiscale representation including opponent color features for texture recognition . IEEE Transactions on Image Processing , 7 : 124 – 128 .
- Jensen , J.R. 1996 . Introductory Digital Image Processing , Upper Saddle River, NJ : Prentice Hall .
- Jeon , B. and Landgrebe , D.A. 1992 . Classification with spatio-temporal interpixel class dependency contexts . IEEE Transactions on Geoscience and Remote Sensing , 30 : 663 – 672 .
- Jimenez , L.O. and Landgrebe , D.A. 1999 . Hyperspectral data analysis and supervised feature reduction via projection pursuit . IEEE Transactions on Geoscience and Remote Sensing , 37 : 2653 – 2667 .
- Journel , A.G. and Huijbregts , C.J. 1978 . Mining Geostatistics , New York : Academic Press .
- Lark , R.M. 1996 . Geostatistical description of texture on an aerial photograph for discriminating classes of land cover . International Journal of Remote Sensing , 17 : 2115 – 2133 .
- Lark , R.M. , Bellamy , P.H. and Rawlins , B.G. 2006 . Spatio-temporal variability of some metal concentrations in the soil of eastern England, and implications for soil monitoring . Geoderma , 133 : 363 – 379 .
- Lazaroff , M.B. and Brennan , M.W. 1993 . Multitemporal texture analysis of features computed from remotely sensed imagery . Proceedings of SPIE, the International Society for Optical Engineering , 1819 : 166 – 175 .
- Li , P. , Cheng , T. and Guo , J. 2009 . Multivariate texture by multivariate variogram for image classification . Photogrammetric Engineering and Remote Sensing , 75 : 147 – 157 .
- Lillesand , T.M. , Kiefer , R.W. and Chipman , J.W. 1994 . Remote Sensing and Image Interpretation , 3rd , New York : John Wiley & Sons Ltd .
- Liu , D. , Kelly , M. and Gong , P. 2006 . A spatial-temporal approach to monitoring forest disease spread using multi-temporal high spatial resolution imagery . Remote Sensing of Environment , 101 : 167 – 180 .
- Loveland , T.R. , Merchant , J.W. , Brown , J.F. , Ohlen , D.O. , Reed , B.C. , Olson , P. and Hutchinson , J. 1995 . Seasonal land-cover regions of the United States . Annals of the Association of American Geographers , 85 : 339 – 355 .
- Mannheim , S. , Segl , K. , Heim , B. and Kaufmann , H. Monitoring of lake water quality using hyperspectral CHRIS-PROBA data . Proceedings of 2nd CHRIS/PROBA Workshop . April 28–30 2004 , Frascati, Italy. pp. SP-578 ESA/ESRIN .
- Mather , P.M. , Tso , B. and Koch , M. 1998 . An evaluation of Landsat TM spectral data and SAR-derived textural information for lithological discrimination in the Red Sea Hills, Sudan . International Journal of Remote Sensing , 19 : 587 – 604 .
- Matheron , G. 1971 . The Theory of Regionalized Variables and Its Applications, Les Cahiers du Centre de Morphologie Mathematique de Fontainebleau, Fascicule 5 , Fontainebleau, , France : Ecole des Mines de Paris .
- 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 .
- Melgani , F. and Serpico , S.B. 2003 . A Markov random field approach to spatio-temporal contextual image classification . IEEE Transactions on Geoscience and Remote Sensing , 41 : 2478 – 2487 .
- Mickelson , J.G. , Civco , D.L. and Silander , J.A. 1998 . Delineating forest canopy species in the northeastern United States using multi-temporal TM imagery . Photogrammetric Engineering and Remote Sensing , 64 : 891 – 904 .
- Papritz , A. , Kunsch , H.R. and Webster , R. 1993 . On the pseudo cross-variogram . Mathematical Geology , 25 : 1015 – 1026 .
- Settle , M.J. 2001 . Calibration Activities for CHRIS-PROBA , Reading, , UK : NERC/ESSC .
- Solberg , A.H.S. , Taxt , T. and Jain , A.K. 1996 . A Markov random field model for classification of multisource satellite imagery . IEEE Transactions on Geoscience and Remote Sensing , 34 : 100 – 113 .
- Thenkabail , P.S. , Enclona , E.A. , Ashton , M.S. and Van Der Meer , B. 2004 . Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications . Remote Sensing of Environment , 91 : 354 – 376 .
- Turner , M.D. and Congalton , R.G. 1998 . Classification of multi-temporal SPOT-XS satellite data for mapping rice fields on a West African floodplain . International Journal of Remote Sensing , 19 : 21 – 41 .
- Vapnik , V.N. 2000 . The Nature of Statistical Learning Theory , New York : Springer .
- Wolter , P.T. , Mladenoff , D.J. , Host , G.E. and Crow , T.R. 1995 . Improved forest classification in the northern lake states using multi-temporal Landsat imagery . Photogrammetric Engineering and Remote Sensing , 61 : 1129 – 1143 .