Integration of case-based reasoning and object-based image classification to classify SPOT images: a case study of aquaculture land use mapping in coastal areas of Guangdong province, China

References

• Aamodt , A. and Plaza , E. 1994 . Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches.” . AI Communications , 7 : 39 – 59 .
   Web of Science ®Google Scholar
• Aplin , P. and Smith , G. M. 2011 . Introduction to Object-Based Landscape Analysis.” . International Journal of Geographical Information Science , 25 : 869 – 875 .
   Web of Science ®Google Scholar
• Baatz , M. and Schäpe , M. 2000 . “ Multiresolution Segmentation - an Optimization Approach for High Quality Multi-Scale Image Segmentation.” . In Angewandte Geographische Informations-Verarbeitung XII , Edited by: Strobl , J. , Blaschke , T. and Griesebner , G. 12 – 23 . Heidelberg: Wichmann Verlag .
   Google Scholar
• Bartholomé , E. and Belward , A. S. 2005 . GLC2000: A New Approach to Global Land Cover Mapping From Earth Observation Data.” . International Journal of Remote Sensing , 26 : 1959 – 1977 .
   Web of Science ®Google Scholar
• Benz , U. C. , Hofmann , P. , Willhauck , G. , Lingenfelder , I. and Heynen , M. 2004 . Multi-Resolution, Object-Oriented Fuzzy Analysis of Remote Sensing Data for GIS-Ready Information.” . ISPRS Journal of Photogrammetry and Remote Sensing , 58 : 239 – 258 .
   Web of Science ®Google Scholar
• Blaschke , T. 2010 . Object Based Image Analysis for Remote Sensing.” . ISPRS Journal of Photogrammetry and Remote Sensing , 65 : 2 – 16 .
   Web of Science ®Google Scholar
• Branting , L. K. , Hastings , J. D. and Lockwood , J. A. 1999 . Integrating Cases and Models for Predictions in Biological Systems.” . AI Applications , 11 : 29 – 48 .
   Google Scholar
• Congalton , R. G. 1991 . A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” . Remote Sensing of Environment , 37 : 35 – 46 .
   Web of Science ®Google Scholar
• Davis , J. C. 2002 . Statistics and Data Analysis in Geology 656. New York: John Wiley & Sons.
   Google Scholar
• 2009 . Definiens Developer 7–User Guide , München : Definiens AG . DefiniensA. G
   Google Scholar
• Drăguţ , L. , Tiede , D. and Levick , S. R. 2010 . ESP: A Tool to Estimate Scale Parameter for Multiresolution Image Segmentation of Remotely Sensed Data.” . International Journal of Geographical Information Science , 24 : 859 – 871 .
   Web of Science ®Google Scholar
• Du , Y. , Liang , F. and Sun , Y. 2012 . Integrating Spatial Relations Into Case-Based Reasoning to Solve Geographic Problems.” . Knowledge-Based Systems , 33 : 111 – 123 .
   Web of Science ®Google Scholar
• Duro , D. C. , Franklin , S. E. and Dubé , M. G. 2012 . A Comparison of Pixel-Based and Object-Based Image Analysis with Selected Machine Learning Algorithms for the Classification of Agricultural Landscapes Using SPOT-5 HRG Imagery.” . Remote Sensing of Environment , 118 : 259 – 272 .
   Web of Science ®Google Scholar
• Foody , G. M. 2002 . Status of Land Cover Classification Accuracy Assessment.” . Remote Sensing of Environment , 80 : 185 – 201 .
   Web of Science ®Google Scholar
• Friedl , M. A. , McIver , D. K. , Hodges , J. C. F. , Zhang , X. Y. , Muchoney , D. , Strahler , A. H. , Woodcock , C. E. , Gopal , S. , Schneider , A. and Cooper , A. 2002 . Global Land Cover Mapping From MODIS: Algorithms and Early Results.” . Remote Sensing of Environment , 83 : 287 – 302 .
   Web of Science ®Google Scholar
• Frohn , R. C. and Chaudhary , N. 2008 . Multi-Scale Image Segmentation and Object-Oriented Processing for Land Cover Classification.” . GIScience & Remote Sensing , 45 : 377 – 391 .
   Web of Science ®Google Scholar
• Fry , J. , Xian , G. , Jin , S. , Dewitz , J. , Homer , C. , Yang , L. , Barnes , C. , Herold , N. and Wickham , J. 2011 . Completion of the 2006 National Land Cover Database for the Conterminous United States.” . Photogrammetric Engineering and Remote Sensing , 77 : 858 – 864 .
   Google Scholar
• Gao , J. 2008 . Mapping of Land Degradation From ASTER Data: A Comparison of Object-Based and Pixel-Based Methods.” . GIScience & Remote Sensing , 45 : 149 – 166 .
   Web of Science ®Google Scholar
• Hansen , M. C. , DeFries , R. S. , Townshend , J. R. and Sohlberg , R. 2000 . Global Land Cover Classification at 1 Km Spatial Resolution Using a Classification Tree Approach.” . International Journal of Remote Sensing , 21 : 1331 – 1364 .
   Web of Science ®Google Scholar
• Holt , A. 1999 . Applying Case-Based Reasoning Techniques in GIS.” . International Journal of Geographical Information Science , 13 : 9 – 25 .
   Web of Science ®Google Scholar
• Homer , C. , Dewitz , J. , Fry , J. , Coan , M. , Hossain , N. , Larson , C. , Herold , N. , McKerrow , A. , VanDriel , J. N. and Wickham , J. 2007 . Completion of the 2001 National Land Cover Database for the Counterminous United States.” . Photogrammetric Engineering and Remote Sensing , 73 : 337 – 341 .
   Web of Science ®Google Scholar
• Inglada , J. 2007 . Automatic Recognition of Man-Made Objects in High Resolution Optical Remote Sensing Images by SVM Classification of Geometric Image Features.” . ISPRS Journal of Photogrammetry and Remote Sensing , 62 : 236 – 248 .
   Web of Science ®Google Scholar
• Jones , E. K. and Roydhouse , A. 1994 . Intelligent Retrieval of Historical Meteorological Data.” . Artificial Intelligence , 8 : 43 – 54 .
   Google Scholar
• Kass , S. , Notarnicola , C. and Zebisch , M. 2011 . Identification of Orchards and Vineyards with Different Texture-Based Measurements by Using an Object-Oriented Classification Approach.” . International Journal of Geographical Information Science , 25 : 931 – 947 .
   Web of Science ®Google Scholar
• Kim , M. , Madden , M. and Warner , T. A. 2009 . Forest Type Mapping Using Object-Specific Texture Measures From Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues.” . Photogrammetric Engineering and Remote Sensing , 75 : 819 – 829 .
   Web of Science ®Google Scholar
• Laliberte , A. S. , Fredrickson , E. L. and Rango , A. 2007 . Combining Decision Trees with Hierarchical Object-Oriented Image Analysis for Mapping Arid Rangelands.” . Photogrammetric Engineering and Remote Sensing , 73 : 197 – 207 .
   Web of Science ®Google Scholar
• Lekkas , G. P. , Avouris , N. M. and Viras , L. G. 1994 . Case-Based Reasoning in Environmental Monitoring Applications.” . Applied Artificial Intelligence , 8 : 359 – 376 .
   Web of Science ®Google Scholar
• Li , X. and Yeh , A. G. 2004 . Multitemporal SAR Images for Monitoring Cultivation Systems Using Case-Based Reasoning.” . Remote Sensing of Environment , 90 : 524 – 534 .
   Web of Science ®Google Scholar
• Loveland , T. R. , Reed , B. C. , Brown , J. F. , Ohlen , D. O. , Zhu , Z. , Yang , L. and Merchant , J. W. 2000 . Development of a Global Land Cover Characteristics Database and IGBP DISCover From 1 Km AVHRR Data.” . International Journal of Remote Sensing , 21 : 1303 – 1330 .
   Web of Science ®Google Scholar
• Lu , D. and Weng , Q. 2007 . A Survey of Image Classification Methods and Techniques for Improving Classification Performance.” . International Journal of Remote Sensing , 28 : 823 – 870 .
   Web of Science ®Google Scholar
• Myint , S. W. , Gober , P. , Brazel , A. , Grossman-Clarke , S. and Weng , Q. 2011 . Per-Pixel Vs. Object-Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery.” . Remote Sensing of Environment , 115 : 1145 – 1161 .
   Web of Science ®Google Scholar
• Möller , M. , Lymburner , L. and Volk , M. 2007 . The Comparison Index: A Tool for Assessing the Accuracy of Image Segmentation.” . International Journal of Applied Earth Observation and Geoinformation , 9 : 311 – 321 .
   Web of Science ®Google Scholar
• Project 908 of State Oceanic Administration of China. 2006. Specifications of Satellite Remote Sensing for Island and Coastal Zone Investigation61. Beijing: China Ocean Press.
   Google Scholar
• Qian , J. , Li , X. , Ai , B. , Anthony , G.-O. Y. , Chen , X.-Y. , Liu , K. and Zhuo , L. 2007 . Land-Use Short-Term Change Detection Based on Time-Series-Case-Based-Reasoning (TSCBR).” . Journal of Natural Resources , 5 : 735 – 746 .
   Google Scholar
• Robertson , L. D. and King , D. J. 2011 . Comparison of Pixel-and Object-Based Classification in Land Cover Change Mapping.” . International Journal of Remote Sensing , 32 : 1505 – 1529 .
   Web of Science ®Google Scholar
• Shi , X. , Zhu , A.-X. , Burt , J. , Qi , F. and Simonson , D. 2004 . A Case-Based Reasoning Approach to Fuzzy Soil Mapping.” . Soil Science Society of America Journal , 68 : 885 – 894 .
   Web of Science ®Google Scholar
• Thomas , N. , Hendrix , C. and Congalton , R. G. 2003 . A Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery.” . Photogrammetric Engineering and Remote Sensing , 69 : 963 – 972 .
   Web of Science ®Google Scholar
• Vogelmann , J. E. , Howard , S. M. , Yang , L. , Larson , C. R. , Wylie , B. K. and Van Driel , N. 2001 . Completion of the 1990s National Land Cover Data Set for the Conterminous United States From Landsat Thematic Mapper Data and Ancillary Data Sources.” . Photogrammetric Engineering and Remote Sensing , 67 : 650 – 662 .
   Web of Science ®Google Scholar
• Watson , I. 1998 . Applying Case-Based Reasoning: Techniques for Enterprise Systems , USA : Morgan Kaufmann Publishers Inc., San Francisco .
   Google Scholar
• Yeh , A. G. O. and Shi , X. 1999 . Applying Case-Based Reasoning to Urban Planning: A New Planning Support System Tool.” . Environment and Planning B: Planning and Design , 26 : 101 – 116 .
   Web of Science ®Google Scholar
• Yu , Q. , Gong , P. , Clinton , N. , Biging , G. , Kelly , M. and Schirokauer , D. 2006 . Object-Based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery.” . Photogrammetric Engineering and Remote Sensing , 72 : 799 – 811 .
   Web of Science ®Google Scholar