Contributions of principal components to discrimination of classes of land cover in multi-spectral imagery

References

• AMUYUNZU , C. L. , 1988 , Vegetation resources and land use in Central Turkana district, Kenya . T REMU Technical report D-1 ( Nairobi UNESCO ).
   Google Scholar
• BASILI , P. , CIOTTI , P. , D'AURIA , G. , MARZANO , F. S. , PIERDICCA , N. , and QUARTO , P. , 1994 , Assessment ofpolarimetric features to discriminate land cover from the MAESTRO-I campaign . International Journal of Remote Sensing , 15 , 2887 – 2899 .
   Web of Science ®Google Scholar
• BIILWARD , A. S. , TAYLOR , J. C. , STUTTARD , M. J. , BIGNALE , E. , MATHEWS , J. , and CURTIS , D. , 1990 , An unsupervised approach to the classification of semi-natural vegetation from Landsat Thematic Mapper data. A pilot study on Islay . International Journal of Remote Sensing , 11 , 429 – 455 .
   Web of Science ®Google Scholar
• DAVE , J. T. , BERNSTEIN , R. , and KOLSKY , H. G. , 1982 . Importance of higher-order components to multi-spectral classification . I.B.M. Journal of Research and Development , 26 , 715 – 723 .
   Web of Science ®Google Scholar
• ERDAS , 1994 , ERDAS Field Guide ( Atlanta ERDAS .
   Google Scholar
• FRANKLIN , J. , 1991 , Land cover slratification using Landsat Thematic Mapper data in Sahelian and Sudanian woodland and wooded grassland . Journal of Arid Environments , 20 , 141 – 163 .
   Web of Science ®Google Scholar
• GHOSH , T. K. , VISWANATHAM , S. , and SURAL , B. , 1991 , Neotectonic analysis of Mendha river basin, Rajasthan, India . International Journal of Remote Sensing , 12 , 2585 – 2595 .
   Web of Science ®Google Scholar
• GONG , P. , and HOWATH , P. J. , 1990 , An assessment of some factors influencing multispectral land-cover classification . Photogrammetric Engineering and Remote Sensing , 56 , 597 – 603 .
   Web of Science ®Google Scholar
• ICONA , 1989 , Proyecto Luedeme, Mapa de Suelos, Almeria . ( Madrid C.S.I.C. Ministerio de Agriculture, Pesca y Alimentacion ).
   Google Scholar
• KRAMBER , W. J. , RICHARDSON , A. J. , NIXON , P. R. , and LULLA , K. , 1988 , Principal component analysis of aerial video imagery . International Journal of Remote Sensing , 9 , 1415 – 1422 .
   Web of Science ®Google Scholar
• LANDGREBE , D. A. , 1978 , The quantitative approach concept and rationale . In Remote Sensing The Quantitative Approach , edited by P. H. Swain and S. M. Davies ( New York McGraw Hill ), pp. 336 – 374 .
   Google Scholar
• LILLESAND , T. M. , and KIEFFER , R. W. , 1994 , Remote sensing and image interpretation , 3rd Edition ( New York Wiley ).
   Google Scholar
• MANIÈRE , R. , KHIYAR , H. , and COURBOULES , J. , 1991 , Comparaison de différentes méthodes de traitement par analyse en composantes principales des données Thematic Mapper de Landsat-5 appliquées à I'inventaire foréts méditerrannéennes du sud de la France . International Journal of Remote Sensing , 12 , 1887 – 1903 .
   Web of Science ®Google Scholar
• MAUSER , W. , 1987 , Agricultural land-use classification in the Upper Rhine Valley using multi-temporal TM data . In Monitoring the Earth ' environment. Proceedings of a workshop on Earthnet pilot project on Landsat-TM applications , edited by T. D. Guyenne and G. Calabresi ( Noordwijk ESA SP-1102 ), pp. 191 – 198 .
   Google Scholar
• MAY , L. N. , 1986 , An evaluation of Landsat MSS digital data for updating habitat maps of the Louisana coastal zone . Photogrammetric Engineering and Remote Sensing , 52 , 1147 – 1158 .
   Web of Science ®Google Scholar
• MINITAB, Inc. , 1988 , Minitab reference manual. Release 6 ( Philadelphia Minitab Inc. ), pp. 178 – 183 .
   Google Scholar
• MORSE , A. , ZARRIELLO , T. J. , and KRAMBER , W. J. , 1990 , Using remote sensing and GIS technology to help adjudicate Idaho water rights . Photogrammetric Engineering and Remote Sensing , 56 , 365 – 380 .
   Web of Science ®Google Scholar
• PARADELLA , W. R. , DA SILVA , M. F. F. , ROSA , N. , DE , A. , and KUSHIGBOR , C. A. , 1994 . A geobotanical approach to the tropical rainforest environment of the Carajás Mineral Province (Amazon Region, Brazil), based on digital TM-Landsat and DEM data . International Journal of Remote Sensing , 15 , 1633 – 1648 .
   Web of Science ®Google Scholar
• RICHARDS , J. A. , 1993 , Remote sensing digital image analysis, an introduction , 2nd Edition ( London Springer-Verlag ).
   Google Scholar
• SWAIN , P. H. , 1978 , Fundamentals of pattern recognition in remote sensing . In Remote sensing the quantitative approach , edited by P. H. Swain and S. M. Davies ( New York McGraw Hill ).
   Google Scholar
• THOMAS , I. L. , BENNING , V. M. , and CHING , N. P. , 1987 , Classification of remotely sensed images ( Bristol Adam Hilger ), pp. 134 – 211 .
   Google Scholar
• TOWNSHEND , J. R. G. , 1984 , Agricultural land-cover discrimination using thematic mapper spectral bands . International Journal of Remote Sensing , 5 , 681 – 698 .
   Web of Science ®Google Scholar
• WEBSTER , R. , and OLIVER , M. A. , 1990 , Statistical methods in soil and land resource survey ( Oxford Oxford University Press ).
   Google Scholar