Using spatial continuity and discontinuity information to retrieve geographic entities

References

• Aksoy , S. and Haralick , R. M. 2000 . “ Using texture in image aimilarity and retrieval ” . In Texture analysis in machine vision , Edited by: Pietikainen , M. 129 – 149 . Hackensack, NJ : World Scientific .
   Google Scholar
• Anderson , J. R. 1976 . A land use and land cover classification system for use with remote sensor data, Geological Survey Professional Paper 964 , Washington, DC : United States Government Printing Office .
   Google Scholar
• Atkinson , P. M. and Lewis , P. 2000 . Geostatistical classification for remote sensing: an introduction . Computers & geosciences , 26 ( 4 ) : 361 – 371 .
   Web of Science ®Google Scholar
• Bach , J. C. . The Virage image search engine: An open framework for image management . Proceedings of Symposium on Electronic Imaging: Science and Technology - Storage & Retrieval for Image and Video Databases IV . February 1996 , San Jose, CA Bellinham. pp. 76 – 87 . Washington : SPIE: The International Society for Optical Engineering .
   Google Scholar
• Bian , L. 2003 . Retrieving urban objects using a wavelet transform approach . Photogrammetric engineering and remote sensing , 69 ( 2 ) : 133 – 141 .
   Web of Science ®Google Scholar
• Bian , L. and Xie , Z. 2004 . A spatial dependence approach to retrieving industrial complexes from digital images . Professional geographer , 56 ( 3 ) : 381 – 393 .
   Web of Science ®Google Scholar
• Canny , J. 1986 . A computational approach to edge detection . IEEE transactions on pattern analysis and machine intelligence , 8 ( 6 ) : 679 – 698 .
   PubMed Web of Science ®Google Scholar
• Carr , J. R. and Miranda , F. P. 1998 . Semivariogram in comparison to the co-occurrence matrix for classification of image texture . IEEE transactions on geoscience and remote sensing , 36 ( 6 ) : 1945 – 1952 .
   Web of Science ®Google Scholar
• Clark , M. L. , Roberts , D. A. and Clark , D. B. 2005 . Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales . Remote sensing of environment , 96 ( 3–4 ) : 375 – 398 .
   Web of Science ®Google Scholar
• Deutsch , C. V. and Journel , A. 1998 . GISLIB Geostatistical software library and user's guide , New York : Oxford University Press .
   Google Scholar
• Flickner , M. 1995 . Query by image and video content: the QBIC system . IEEE computer , 28 ( 9 ) : 23 – 32 .
   Google Scholar
• Haralick , R. M. 1979 . Statistical and structural approaches to texture . Photogrammetric engineering and remote sensing , 49 ( 1 ) : 55 – 64 .
   Google Scholar
• Heath , M. 1998 . Comparison of edge detectors: a methodology and initial study . Computer vision and image understanding , 69 ( 1 ) : 38 – 54 .
   Web of Science ®Google Scholar
• Huang , J. 1999 . Spatial color indexing and applications . International journal of computer vision , 35 ( 3 ) : 245 – 268 .
   Google Scholar
• Isaaks , E. H. and Srivastava , R. M. 1989 . Applied Geostatistics , New York : Oxford University Press .
   Google Scholar
• Ivits , E. 2005 . Landscape structure assessment with image grey-values and object-based classification at three spatial resolutions . International journal of remote sensing , 26 ( 14 ) : 2975 – 2993 .
   Web of Science ®Google Scholar
• Jupp , D. L.B. , Strahler , A. H. and Woodcock , C. E. 1988 . Autocorrelation and regularization in digital images: I. Basic theory . IEEE transactions on geoscience and remote sensing , 26 ( 4 ) : 463 – 473 .
   Google Scholar
• Kato , Z. . Content-based image retrieval using stochastic paintbrush transformation . Proceedings of the IEEE 2002 International Conference on Image Processing (ICIP '2002) . September 22–25 2001 , New York. Rochester : IEEE .
   Google Scholar
• Lam , N. S.N. and Quattrochi , D. 1992 . On the issues of scale, resolution, and fractal analysis in the mapping sciences . Professional geographer , 44 ( 1 ) : 88 – 97 .
   Web of Science ®Google Scholar
• Lark , R. M. 1996 . Geostatistical description of texture on an aerial photograph for discriminating classes of land cover . International journal of remote sensing , 17 ( 11 ) : 2115 – 2133 .
   Web of Science ®Google Scholar
• Manjunath , B. S. and Ma , W. Y. 1996 . Texture features for browsing and retrieval of image data . IEEE transactions on pattern analysis and machine intelligence , 18 ( 8 ) : 837 – 841 .
   Web of Science ®Google Scholar
• Miranda , F. P. , MacDonald , J. A. and Carr , J. R. 1992 . Application of the semivariogram textural classifier (STC) for vegetation discrimination using SIR-B data of Borneo . International journal of remote sensing , 13 ( 12 ) : 2349 – 2354 .
   Web of Science ®Google Scholar
• Pentland , A. , Picard , R. W. and Scarloff , S. 1996 . Photobook: content based manipulation of image databases . International journal of computer vision , 18 ( 3 ) : 233 – 254 .
   Web of Science ®Google Scholar
• Robinson , P. , Fisher , P. and Smith , G. 2005 . Evaluating object-based data quality attributes in the Land Cover Map 2000 of the United Kingdom . Photogrammetric engineering and remote sensing , 71 ( 3 ) : 269 – 276 .
   Google Scholar
• Sheikholeslami , G. , Zhang , A. and Bian , L. 1999 . A multi-resolution content-based retrieval approach for geographic images . GeoInformatica , 3 ( 2 ) : 109 – 139 .
   Google Scholar
• Shi , Z. and Govindaraju , V. 1997 . Segmentation and recognition of connected handwritten numeral strings . Journal of pattern recognition , 30 : 1501 – 1504 .
   Google Scholar
• Sonka , M. , Halvac , V. and Boyle , R. 1999 . Image Processing, Analysis, and Machine Vision , 2nd edn , Pacific Grove, CA : PWS publishing .
   Google Scholar
• Srihari , R. , Zhang , Z. and Rao , A. 2000 . Intelligent indexing and semantic retrieval of multi-modal documents . Information retrieval , 2 ( 2 ) : 245 – 275 .
   Google Scholar
• Stefanidis , A. 2002 . Scale- and orientation-invariant scene similarity metrics for image queries . International Journal of Geographical information science , 16 ( 8 ) : 749 – 772 .
   Web of Science ®Google Scholar
• St-onge , B. A. and Cavayas , F. 1995 . Estimating forest structure from high resolution imagery using the directional variogram . International journal of remote sensing , 16 ( 11 ) : 1999 – 2021 .
   Web of Science ®Google Scholar
• Tang , L. H.Y. , Hanka , R. and Ip , H. H.S. 1999 . A review of intelligent content-based indexing and browsing of medical images . Health informatics journal , 5 ( 1 ) : 40 – 49 .
   Google Scholar
• Tatem , A. J. 2000 . Super-resolution land cover pattern prediction using a Hopfield neural network . Remote sensing of environment , 79 ( 1 ) : 1 – 14 .
   Google Scholar
• Vailaya , A. 2001 . Image classification for content-based indexing . IEEE transactions on image processing , 10 ( 1 ) : 117 – 130 .
   PubMedGoogle Scholar
• Vailaya , A. , Jain , A. K. and Zhang , H. 1998 . On image classification: city images vs. landscapes . Pattern recognition , 31 ( 12 ) : 1921 – 1936 .
   Google Scholar
• Weng , J. and Swets , D. L. 1999 . “ Face recognition ” . In Biomatics: Personal Identification in Networked Society , Edited by: Jain , A. K. and Bolle , R. 65 – 86 . Hingham, MA : Kluwer Academic Press .
   Google Scholar
• Xie , Z. 2004 . A rotation and flip invariant algorithm for representing spatial continuity information of geographic images in content based image retrieval . Computers & geosciences , 30 ( 9–10 ) : 1093 – 1104 .
   Google Scholar
• Yong , R. 1998 . Relevance feedback: a power tool for interactive content-based image retrieval . IEEE transactions on circuits and systems for video technology , 8 ( 5 ) : 644 – 655 .
   Google Scholar
• Zhou , X. S. and Huang , T. S. 2001 . Edge structural features for content based image retrieval . Pattern recognition letters , 22 ( 5 ) : 457 – 468 .
   Google Scholar
• Zhu , C. and Yang , X. 1998 . Study of remote sensing image texture analysis and classification using wavelet . International journal of remote sensing , 19 ( 16 ) : 3197 – 3203 .
   Web of Science ®Google Scholar