INTEGRATION OF SPOT AND SAR FRACTAL IMAGES FOR TERRAIN COVER CLASSIFICATION

REFERENCES

• Baker , J. S. Briggs , Gordon , V. , Jones , A. , Settle , J. , Townsend , J. and Wyatt , B. 1991 . “Advances in Classification for Land Cover Mapping Using SPOT HRV Imagery,” . International Journal and Remote Sensing , 12 : 1071 – 1085 .
   Web of Science ®Google Scholar
• Barrett , E. C. and Curtis , L. F. 1992 . Introduction to Environment Remote Sensing London : Chapman and Hall .
   Google Scholar
• Chen , K. S. , Tzeng , Y. C. , Chen , C. F. and Kao , W. L. 1995 . “Land-Cover Classification of Multispectral Imagery Using a Dynamic Learning Neural Network,” . Photogrammetric Engineering and Remote Sensing , 61 : 403 – 408 .
   Web of Science ®Google Scholar
• Chen , K. S. , Yen , S. K. and Tsay , D. W. 1996 . “Neural Classification of SPOT Imagery Through Integration of Intensity and Fractal Information,” . International Journal and Remote Sensing , in press
   Web of Science ®Google Scholar
• Cola , L. D. 1989 . “Fractal Analysis of a Classified Landsat Scene,” . Photogrammetric Engineering and Remote Sensing , 55 : 601 – 610 .
   Web of Science ®Google Scholar
• Congalton , R. G. 1988 . “A Comparison of Sampling Schemes Used in Generating Error Matrices for Assessing the Accuracy of Maps Generated from Remotely Sensed Data,” . Photogrammetric Engineering and Remote Sensing , 54 : 593 – 600 .
   Web of Science ®Google Scholar
• Daubechies , I. 1988 . “Orthonormal Bases of Compactly Supported Wavelets,” . Communication on Pure and Applied Mathematics , XLI : 909 – 966 .
   Web of Science ®Google Scholar
• Daubechies , I. 1989 . “The Wavelet Transform, Time-Frequency Localization and Signal Analysis,” . IEEE Transaction on Information Theory , 36 : 961 – 1005 .
   Web of Science ®Google Scholar
• Jensen , J. R. 1983 . “Urban/Suburban Land Use Analysis,” . In in Manual of Remote Sensing Edited by: Colwell , R. N. 1571 – 1666 . Falls Church : American Society of Photogrammetry .
   Google Scholar
• Dellepiane , S. , Giusto , D. D. , Serpico , S. B. and Vernazza , G. 1991 . “SAR image Recognition by Integration of Intensity and Texture Information,” . International Journal and Remote Sensing , 12 : 1915 – 1932 .
   Web of Science ®Google Scholar
• Keller , J. M. , Crownover , R. M. and Chen , R. Y. 1987 . “Characteristics of Natural Sciences Related to the Fractal Dimension,” . IEEE Transactions on Pattern Analysis and Machine Intelligence , 9 : 621 – 627 .
   PubMed Web of Science ®Google Scholar
• Keller , J. M. , Chen , S. and Crownover , R. M. 1989 . “Texture Description and Segmentation Through Fractal Geometry,” . Computer Vision, Graphics and Image Processing , 45 : 150 – 166 .
   Google Scholar
• Laine , A. and Fan , J. 1993 . “Texture Classification by Wavelet Packet Signature,” . IEEE Transactions on Pattern Analysis and Machine Intelligence , 15 : 1186 – 1191 .
   Web of Science ®Google Scholar
• Laur , H. 1992 . “ERS-1 SAR Calibration: Derivation of Backscattering Coefficient in ERS-1,” . In SAR PRI Products ESA/ESRIN .
   Google Scholar
• Lee , J. S. 1981 . “Speckle Analysis and Smoothing of Synthetic Aperture Radar Images,” . Computer Graphics and Image Processing , 17 : 24 – 32 .
   Google Scholar
• Lillesand , T. M. and Kiefer , R. W. 1993 . Remote Sensing and Image Interpretation New York : John Wiley and Sons .
   Google Scholar
• Mallat , S. G. 1989 . “A theory for Multiresolution Signal Decomposition: The Wavelet Representation,” . IEEE Transactions on Pattern Analysis and Machine Intelligence , 11 : 674 – 693 .
   Web of Science ®Google Scholar
• Mandelbrolt , B. B. and Van Ness , J. W. 1968 . “Fractional Brownian Motion, Fractional Noises and Applications,” . IEEE Transactions on Medical Image , 10 : 422 – 437 .
   Google Scholar
• Mandelbrolt , B. B. 1983 . The Fractional Geometry of Nature San Francisco : W.H. Freman .
   Google Scholar
• Martin , L. R.G. , Howarth , P. J. and Holder , G. 1988 . “Multispectral Classification of Land Use at the Rural-Urban Fringe Using SPOT Data,” . Canadian Journal of Remote Sensing , 14 : 72 – 79 .
   Google Scholar
• McCelland , J. L. , Rumelhart , D. E. and Hinton , G. E. 1986 . “The Appeal of Parallel Distributed Processing,” . In in Parallel Distributed Processing Edited by: Rumelhart and McCelland . Vol. 1 , Cambridge : MIT Press .
   Google Scholar
• Neider , J. A. and Mead , R. 1965 . “A Simplex Method for Function Minimization,” . Computer Journal , 7 : 308 – 313 .
   Web of Science ®Google Scholar
• Olson , D. K. 1988 . “Calculation of Geodetic Coordinates from Earth-Centered Earth-fixed Coordinates,” . Journal of Guidance , 11 : 188 – 190 .
   Web of Science ®Google Scholar
• Pentland , A. 1984 . “Fractal-Based Description of Natural Scenes,” . IEEE Transaction on Pattern Analysis and Machine Intelligence , 6 : 661 – 674 .
   PubMed Web of Science ®Google Scholar
• Stewart , C. V. , Moghaddam , B. , Hintz , K. J. and Novak , L. M. 1993 . “Fractional Brownian Motion Models for Synthetic Aperture Radar Imagery Scene Segmentation,” . Proceedings of IEEE , 81 : 1511 – 1523 .
   Web of Science ®Google Scholar
• Szekielda , K. H. 1988 . Satellite Monitoring of the Earth New York : John Wiely and Sons .
   Google Scholar
• Tannous , I. and Pikeroen , B. 1994 . “Parametric Modeling of Spaceborne SAR Image Geometry. Application: SEASAT/SPOT Image Registration,” . Photo gramme trie Engineering and Remote Sensing , 60 : 755 – 766 .
   Web of Science ®Google Scholar
• Tzeng , Y. C. , Chen , K. S. , Kao , W. L. and Fung , A. K. 1994 . “A Dynamic Learning Neural Network for Remote Sensing Applications,” . IEEE Transaction on Geoscience and Remote Sensing , 32 : 1096 – 1102 .
   Web of Science ®Google Scholar
• Ulaby , F. T. , Moore , R. K. and Fung , A. K. 1982 . Microwave Remote Sensing Active and Passive , II Artech House, Norwood
   Google Scholar
• Wang , H. T. and Wang , T. T. 1996 . “Ahigh Precision Algorithm for SAR Geometric Corrections “submitted paper
   Google Scholar