Sub-pixel mapping of remotely sensed imagery with hybrid intra- and inter-pixel dependence

References

• Aplin , P. and Atkinson , P. M. 2001 . Sub-Pixel Land Cover Mapping for Per-Field Classification . International Journal of Remote Sensing , 22 : 2853 – 8 .
   Web of Science ®Google Scholar
• Atkinson , P. M. 1997 . “ Mapping Sub-Pixel Boundaries from Remotely Sensed Images ” . In Innovations in GIS 4 , Edited by: Kemp , Z. 166 – 80 . London : Taylor and Francis .
   Google Scholar
• Atkinson , P. M. 2005 . Sub-Pixel Target Mapping from Soft-Classified Remotely Sensed Imagery . Photogrammetric Engineering and Remote Sensing , 71 : 839 – 46 .
   Web of Science ®Google Scholar
• Atkinson , P. M . 2008 . “ Super-Resolution Mapping Using the Two-Point Histogram and Multi-Source Imagery ” . In GeoENV VI – Geostatistics for Environmental Applications , Edited by: Soares , A. , Pereira , M. J. and Dimitrakopoulos , R. 307 – 21 . Dordrecht : Springer .
   Google Scholar
• Atkinson , P. M. 2009 . Issues of Uncertainty in Super-Resolution Mapping and Their Implications for the Design of an Inter-Comparison Study . International Journal of Remote Sensing , 30 : 5293 – 308 .
   Web of Science ®Google Scholar
• Boucher , A. and Kyriakidis , P. C. 2007 . Integrating Fine Scale Information in Super-Resolution Land-Cover Mapping . Photogrammetric Engineering and Remote Sensing , 73 : 913 – 21 .
   Web of Science ®Google Scholar
• Boucher , A. and Kyriakidis , P. C. 2006 . Super-Resolution Land Cover Mapping with Indicator Geostatistics . Remote Sensing of Environment , 104 : 264 – 82 .
   Web of Science ®Google Scholar
• Boucher , A. , Kyriakidis , P. C. and Cronkite-Ratcliff , C. 2008 . Geostatistical Solutions for Super-Resolution Land Cover Mapping . IEEE Transactions on Geoscience and Remote Sensing , 46 : 272 – 83 .
   Web of Science ®Google Scholar
• Foody , G. M. 1998 . Sharpening Fuzzy Classification Output to Refine the Representation of Sub-Pixel Land Cover Distribution . International Journal of Remote Sensing , 19 : 2593 – 9 .
   Web of Science ®Google Scholar
• Foody , G. M. 2002 . The Role of Soft Classification Techniques in the Refinement of Estimates of Ground Control Point Location . Photogrammetric Engineering and Remote Sensing , 68 : 897 – 903 .
   Web of Science ®Google Scholar
• Foody , G. M. , Muslim , A. M. and Atkinson , P. M. 2005 . Super-Resolution Mapping of the Waterline from Remotely Sensed Data . International Journal of Remote Sensing , 26 : 5381 – 92 .
   Web of Science ®Google Scholar
• Ge , Y. , Li , S. P. and Lakhan , V. C. 2009 . Development and Testing of a Subpixel Mapping Algorithm . IEEE Transactions on Geoscience and Remote Sensing , 47 : 2155 – 64 .
   Web of Science ®Google Scholar
• Kasetkasem , T. , Arora , M. K. and Varshney , P. K. 2005 . Super-Resolution Land Cover Mapping Using a Markov Random Field Based Approach . Remote Sensing of Environment , 96 : 302 – 14 .
   Web of Science ®Google Scholar
• Li , X. D. , Du , Y. , Ling , F. , Wu , S. J. and Feng , Q. 2011 . Using a Sub-Pixel Mapping Model to Improve the Accuracy of Landscape Pattern Indices . Ecological Indicators , 11 : 1160 – 70 .
   Web of Science ®Google Scholar
• Ling , F. , Du , Y. , Xiao , F. , Xue , H. P. and Wu , S. J. 2010 . Super-Resolution Land-Cover Mapping Using Multiple Sub-Pixel Shifted Remotely Sensed Images . International Journal of Remote Sensing , 31 : 5023 – 40 .
   Web of Science ®Google Scholar
• Ling , F. , Li , W. B. , Du , Y. and Li , X. D. 2011 . Land Cover Change Mapping at the Subpixel Scale with Different Spatial-Resolution Remotely Sensed Imagery . IEEE Geoscience and Remote Sensing Letters , 8 : 182 – 6 .
   Web of Science ®Google Scholar
• Ling , F. , Li , X. D. , Xiao , F. , Fang , S. M. and Du , Y. 2012 . Object-based Sub-pixel Mapping of Buildings Incorporating the Prior Shape Information from Remotely Sensed Imagery . International Journal of Applied Earth Observation and Geoinformation , 18 : 283 – 92 .
   Web of Science ®Google Scholar
• Ling , F. , Xiao , F. , Du , Y. , Xue , H. P. and Ren , X. Y. 2008 . Waterline Mapping at the Subpixel Scale from Remote Sensing Imagery with High-Resolution Digital Elevation Models . International Journal of Remote Sensing , 29 : 1809 – 15 .
   Web of Science ®Google Scholar
• Makido , Y. , Messina , J. P. and Shortridge , A. 2008 . Exploring the Impacts of Pseudo-Random Number Generators on Sub-Pixel Classification . GIScience & Remote Sensing , 45 : 471 – 89 .
   Web of Science ®Google Scholar
• Makido , Y. and Shortridge , A. 2007 . Weighting Function Alternatives for a Subpixel Allocation Model . Photogrammetric Engineering and Remote Sensing , 73 : 1233 – 40 .
   Web of Science ®Google Scholar
• Makido , Y. , Shortridge , A. and Messina , J. P. 2007 . Assessing Alternatives for Modeling the Spatial Distribution of Multiple Land-Cover Classes at Sub-Pixel Scales . Photogrammetric Engineering and Remote Sensing , 73 : 935 – 43 .
   Web of Science ®Google Scholar
• Mertens , K. C. , De Baets , B. , Verbeke , L. P. C. and De Wulf , R. R. 2006 . A Sub-Pixel Mapping Algorithm Based on Sub-Pixel/Pixel Spatial Attraction Models . International Journal of Remote Sensing , 27 : 3293 – 310 .
   Web of Science ®Google Scholar
• Mertens , K. C. , Verbeke , L. P. C. , Ducheyne , E. I. and De Wulf , R. R. 2003 . Using Genetic Algorithms in Sub-Pixel Mapping . International Journal of Remote Sensing , 24 : 4241 – 7 .
   Web of Science ®Google Scholar
• Muslim , A. M. , Foody , G. M. and Atkinson , P. M. 2006 . Localized Soft Classification for Super-Resolution Mapping of the Shoreline . International Journal of Remote Sensing , 27 : 2271 – 85 .
   Web of Science ®Google Scholar
• Nguyen , M. Q. , Atkinson , P. M. and Lewis , H. G. 2005 . Superresolution Mapping Using a Hopfield Neural Network with Lidar Data . IEEE Geoscience and Remote Sensing Letters , 2 : 366 – 70 .
   Web of Science ®Google Scholar
• Nguyen , M. Q. , Atkinson , P. M. and Lewis , H. G. 2006 . Superresolution Mapping Using a Hopfield Neural Network with Fused Images . IEEE Transactions on Geoscience and Remote Sensing , 44 : 736 – 49 .
   Web of Science ®Google Scholar
• Shen , Z. Q. , Qi , J. G. and Wang , K. 2009 . Modification of Pixel-Swapping Algorithm with Initialization from a Sub-Pixel/Pixel Spatial Attraction Model . Photogrammetric Engineering and Remote Sensing , 75 : 557 – 67 .
   Web of Science ®Google Scholar
• Tatem , A. J. , Lewis , H. G. , Atkinson , P. M. and Nixon , M. S. 2001 . Super-Resolution Target Identification from Remotely Sensed Images Using a Hopfield Neural Network . IEEE Transactions on Geoscience and Remote Sensing , 39 : 781 – 96 .
   Web of Science ®Google Scholar
• Tatem , A. J. , Lewis , H. G. , Atkinson , P. M. and Nixon , M. S. 2002 . Super-Resolution Land Cover Pattern Prediction Using a Hopfield Neural Network . Remote Sensing of Environment , 79 : 1 – 14 .
   Web of Science ®Google Scholar
• Thornton , M. W. , Atkinson , P. M. and Holland , D. A. 2007 . A Linearised Pixel-Swapping Method for Mapping Rural Linear Land Cover Features from Fine Spatial Resolution Remotely Sensed Imagery . Computers & Geosciences , 33 : 1261 – 72 .
   Web of Science ®Google Scholar
• Thornton , M. W. , Atkinson , P. M. and Holland , D. A. 2006 . Sub-Pixel Mapping of Rural Land Cover Objects from Fine Spatial Resolution Satellite Sensor Imagery Using Super-Resolution Swapping . International Journal of Remote Sensing , 27 : 473 – 91 .
   Web of Science ®Google Scholar
• Verhoeye , J. and De Wulf , R. 2002 . Land Cover Mapping at Sub-Pixel Scales Using Linear Optimization Techniques . Remote Sensing of Environment , 79 : 96 – 104 .
   Web of Science ®Google Scholar
• Zhan , Q. , Molenar , M. and Lucieer , A. 2002 . “ Pixel Unmixing at the Sub-Pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas ” . In Uncertainty in Remote Sensing and GIS , Edited by: Foody , G. M. and Atkinson , P. M. 59 – 76 . Chichester : John Wiley & Sons .
   Google Scholar