A new approach for finding an appropriate combination of texture parameters for classification

References

• Aboufadel , E. and Schlicker , S. 1999 . Discovering wavelets , New York : A Wiley-Interscience Publication, John Wiley & Sons, Inc .
   Google Scholar
• Agüera , F. , Aguilar , F. J. and Aguilar , M. A. 2008 . Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses . ISPRS Journal of Photogrammetry & Remote Sensing , 63 : 635 – 646 .
   Web of Science ®Google Scholar
• Bian , L. 2003 . Retrieving urban objects using a wavelet transform approach . Photogrammetric Engineering & Remote Sensing , 69 ( 2 ) : 133 – 141 .
   Web of Science ®Google Scholar
• Bouman , C. and Liu , B. 1991 . Multiple resolution segmentation of textured images . IEEE Transactions on Pattern Analysis and Machine Intelligence , 13 : 99 – 113 .
   Web of Science ®Google Scholar
• Carroll , J. D. and Green , P. E. 1991 . Psychometric method in marketing research: part 1, conjoint analysis . Journal of Market Research , 32 : 113 – 120 .
   Google Scholar
• Chang , T. and Kuo , C. C.J. 1993 . Texture analysis and classification with tree-structured wavelet transform . IEEE Transaction on Image Process , 2 ( 4 ) : 429 – 441 .
   PubMed Web of Science ®Google Scholar
• Chen , Z. , Feng , T. J. and Houkes , Z. 1999 . Texture segmentation based on wavelet and kohonen network for remotely sensed images . IEEE Transactions on Image Processing , 6 : 816 – 821 .
   Google Scholar
• Chen , D. , Stow , D. A. and Gong , P. 2004 . Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case . International Journal of Remote Sensing , 25 ( 11 ) : 2177 – 2192 .
   Web of Science ®Google Scholar
• Chui , C. K. 1992 . An introduction to wavelets , San Diego : Academic Press, Inc, Harcourt Brace Jovanovich publishers .
   Google Scholar
• Congalton , R. G. and Green , K. 1999 . Assessing the accuracy of remotely sensed data: principles and practices , USA : CRC Press, Inc .
   Google Scholar
• Gong , P. , Marceau , D. J. and Howarth , P. J. 1992 . A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data . Remote Sensing of Environment , 40 : 137 – 151 .
   Web of Science ®Google Scholar
• Gool , L. V. , Dewaele , P. and Qosterlinck , A. 1985 . Texture analysis, anno. 1983 . Computer Vision Graphics and Image Processing , 29 : 336 – 357 .
   Google Scholar
• Graps , A. 1995 . An introduction to wavelets . IEEE Computer Science Engineering , : 674 – 693 . summer 1995
   Google Scholar
• Green , P. E. and Srinivasan , V. 1978 . Conjoint analysis in consumer research: issue and outlook . Journal of Consumer Research , 5 ( September ) : 103 – 123 .
   Google Scholar
• Green , P. E. and Srinivasan , V. 1990 . Conjoint analysis in marketing: new developments with implications for research and practice . Journal of Marketing , 54 ( 4 ) : 3 – 19 .
   Web of Science ®Google Scholar
• Green , P. E. and Wind , Y. 1975 . New way to measure consumers' judgements . Harvard Business Review , 53 : 107 – 117 .
   Web of Science ®Google Scholar
• Hair , J. F. 1998 . Multivariate data analysis , 5th ed , NJ, , USA : Prentice-Hall International Inc .
   Google Scholar
• Haralick , R. M. 1979 . Statistical and structural approaches to texture. Proceeding of the IEEE , 67 : 786 – 804 .
   Web of Science ®Google Scholar
• Haralick , R. M. , Shanmugam , K. and Dinstein , I. 1973 . Textural features for image classification . IEEE Transaction on Systems, Man and Cybernetics , SMC-3 : 610 – 621 .
   Web of Science ®Google Scholar
• Lu , D. , Batisstella , M. and Moran , E. 2007 . Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM+ and Radarsat data . International Journal of Remote Sensing , 28 ( 24 ) : 5447 – 5459 .
   Web of Science ®Google Scholar
• Mallat , S. G. 1989 . A theory for multiresolution signal decomposition: the wavelet representation . IEEE Transactions on Pattern Analysis and Machine Intelligence , 11 ( 7 ) : 674 – 693 .
   Web of Science ®Google Scholar
• Marceau , D. J. 1990 . Evaluation of the gray-level co-occurrence matrix method for land cover classification using SPOT imagery . IEEE Transaction on Geosciences and Remote Sensing , 28 : 513 – 519 .
   Web of Science ®Google Scholar
• Misiti , M. 2000 . Wavelet toolbox user's guide , Natic, MA : The Math works, Inc .
   Google Scholar
• Pathak , V. and Dikshit , O. 2006 . Conjoint analysis for quantification of relative importance of various factors affecting BPANN classification of urban environment . International Journal of Remote Sensing , 27 ( 21 ) : 4769 – 4789 .
   Web of Science ®Google Scholar
• Unser , M. and Eden , M. 1989 . Multiresolution feature extraction and selection for texture segmentation . IEEE Transactions on Pattern Analysis and Machine Intelligence , 11 : 717 – 728 .
   Web of Science ®Google Scholar
• Yashon , O. O. , Ngigi , T. G. and Tateishi , R. 2006 . On the optimization and selection of wavelet texture for feature extraction from high-resolution satellite imagery with application towards urban-tree delineation . International Journal of Remote Sensing , 27 ( 1 ) : 73 – 104 .
   Web of Science ®Google Scholar
• Young , R. K. 1993 . Wavelet theory and its applications , Boston : Kluwer Academic Publishers .
   Google Scholar
• Zhu , C. and Yang , X. 1998 . Study of remote sensing image texture analysis and classification using wavelet . International Journal of Remote Sensing , 14 ( 3 ) : 615 – 619 .
   Google Scholar