Sub‐pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super‐resolution pixel‐swapping

References

• Aplin , P. , Atkinson , P. M. and Curran , P. J. 1999 . Fine spatial resolution simulated satellite sensor imagery for land cover mapping in the United Kingdom. . Remote Sensing of Environment , 68 : pp. 206 – 216 .
   Web of Science ®Google Scholar
• Atkinson , P. M. 1997 . “ Mapping sub‐pixel boundaries from remotely sensed images. ” . In Innovations in GIS IV, , Edited by: Kemp , Z (Ed.) . pp. 166 – 180 . London : Taylor and Francis . In
   Google Scholar
• Atkinson , P. M. Super‐resolution target mapping from soft classified remotely sensed imagery. Fifth International Conference on GeoComputation, . Leeds : University of Leeds . CD‐ROM
   Google Scholar
• Atkinson , P. M. 2005 . Super‐resolution target mapping from soft‐classified remotely sensed imagery. . Photogrammetric Engineering and Remote Sensing , in press
   Web of Science ®Google Scholar
• Atkinson , P. M. and Tatnall , A. R. L. 1997 . Neural networks in remote sensing. . International Journal of Remote Sensing , 18 : pp. 699 – 709 .
   Web of Science ®Google Scholar
• Bardossy , A. and Samaniego , L. 2002 . Fuzzy rule‐based classification of remotely sensed imagery. . IEEE Transactions on Geoscience and Remote Sensing , 40 : pp. 362 – 375 .
   Web of Science ®Google Scholar
• Bastin , L. 1997 . Comparison of fuzzy c‐means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixels. . International Journal of Remote Sensing , 17 : pp. 3629 – 3648 .
   Web of Science ®Google Scholar
• Baudry , J. and Bunce , R. G. H. 2001 . An overview of the landscape ecology of hedgerows. Hedgerows of the World: their ecological functions in different landscapes, , pp. 3 – 16 . UK : International Association for Landscape Ecology .
   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. . Photogrammetric Engineering and Remote Sensing , 58 : pp. 239 – 258 .
   Web of Science ®Google Scholar
• Bezdek , J. C. , Ehrlich , R. and Full , W. 1984 . FCM: the fuzzy c‐means clustering algorithm. . Computers and Geosciences , 10 : pp. 191 – 203 .
   Web of Science ®Google Scholar
• Boutin , C. , Jobin , B. , Belanger , L. , Baril , A. and Freemark , K. E. 2001 . “ Hedgerows in the farming landscapes of Canada. ” . In Hedgerows of the World: their ecological functions in different landscapes, , pp. 33 – 42 . UK : IALE . 2001
   Google Scholar
• Brown De Colstoun , E. C. , Story , M. H. , Thompson , C. , Commisso , K. , Smith , T. G. and Irons , J. R. 2003 . National Park vegetation mapping using multitemporal Landsat 7 data and a decision tree classifier. . Remote Sensing of Environment , 85 : pp. 316 – 327 .
   Web of Science ®Google Scholar
• Burnett , C. and Blaschke , T. 2003 . A multi‐scale segmentation/object relationship modelling methodology for landscape analysis. . Ecological Modelling , 168 : pp. 233 – 249 .
   Web of Science ®Google Scholar
• Chiles , J.‐P. and Delfiner , P. 1999 . Geostatistics. Modeling Spatial Uncertainty , New York : Wiley and Sons .
   Google Scholar
• Cracknell , A. P. 1998 . Synergy in remote sensing—what's in a pixel? . International Journal of Remote Sensing , 19 : pp. 2025 – 2047 .
   Web of Science ®Google Scholar
• Curran , P. J. 2001 . Remote sensing: using the spatial domain. . Environmental and Ecological Statistics , 8 : pp. 331 – 344 .
   Web of Science ®Google Scholar
• Curran , P. J. , Milton , E. J. , Atkinson , P. M. and Foody , G. M. 1998 . Remote Sensing from Data to Understanding, Geocomputation: A Primer, , Edited by: Longley , P. A , Brooks , S. M , McDonnell , R and MacMillan , W (Eds) . pp. 33 – 59 . Chichester : John Wiley .
   Google Scholar
• Fisher , P. 1997 . The pixel: a snare and a delusion. . International Journal of Remote Sensing , 18 : pp. 679 – 685 .
   Web of Science ®Google Scholar
• Foody , G. M. 1996 . Approaches for the production and evaluation of fuzzy land cover classifications from remotely sensed data. . International Journal of Remote Sensing , 17 : pp. 1317 – 1340 .
   Web of Science ®Google Scholar
• Foody , G. M. 2000 . Estimation of sub‐pixel land cover composition in the presence of untrained classes. . Computers and Geosciences , 26 : pp. 469 – 478 .
   Web of Science ®Google Scholar
• Foody , G. M. 2002a . Status of land cover classification accuracy assessment. . Remote Sensing of Environment , 80 : pp. 185 – 201 .
   Web of Science ®Google Scholar
• Foody , G. M. 2002b . Hard and soft classifications by a neural network with a non‐exhaustively defined set of classes. . International Journal of Remote Sensing , 23 : pp. 3853 – 3864 .
   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. , Cooper , A. , Baccini , A. , Gao , F. and Schaaf , C. 2002 . Global land cover mapping from MODIS: algorithms and early results. . Remote Sensing of Environment , 83 : pp. 287 – 302 .
   Web of Science ®Google Scholar
• Heijmans , H. J. A. M. 1995 . “ Mathematical Morphology: Basic Principles. Morphological Image and Signal Processing. ” . In Proceedings of Summer School on Morphological Image and Signal Processing, Zakopane, , Poland
   Google Scholar
• Leavers , V. 1993 . Which Hough transform? . CVGIP: Image Understanding , 58 : pp. 150 – 164 .
   Google Scholar
• Liu , W. and Wu , E. Y. 2005 . Comparison of non‐linear mixture models: sub‐pixel classification. . Remote Sensing of Environment , 94 : pp. 145 – 154 .
   Web of Science ®Google Scholar
• Richards , J. A. and Jia , X. 1999 . Remote Sensing Digital Image Analysis , Berlin : Springer .
   Google Scholar
• Quackenbush , L. J. 2004 . A review of techniques for extracting linear features from imagery. . Photogrammetric Engineering and Remote Sensing , 70 : pp. 1383 – 1392 .
   Web of Science ®Google Scholar
• Sawaya , K. E. , Olmanson , L. G. , Heinert , N. J. , Brezonik , P. L. and Bauer , M. E. 2003 . Extending satellite remote sensing to local scales: land and water resource monitoring using high‐resolution imager. . Remote Sensing of Environment , 88 : pp. 144 – 156 .
   Web of Science ®Google Scholar
• Schowengerdt , R. A. 1997 . Remote Sensing: Models and Methods for Image Processing , San Diego : Academic Press .
   Google Scholar
• Serra , J. 1982 . Image Analysis and Mathematical Morphology. , France : Academic Press . Ecole Nationale Superieure des Mines de Paris, Centre de Geostatistique et de Morphoologie Mathematique, Fontainebleau
   Google Scholar
• Settle , J. J. and Drake , N. A. 1993 . Linear mixing and the estimation of ground cover proportions. . International Journal of Remote Sensing , 14 : pp. 1159 – 1177 .
   Web of Science ®Google Scholar
• Smith , M. O. , Ustin , S. L. , Adams , J. B. and Gillespie , A. R. 1990 . Vegetation in deserts: I. A regional measure of abundance from multispectral images. . Remote Sensing of Environment , 31 : pp. 1 – 26 .
   Web of Science ®Google Scholar
• Strahler , A. H. , Woodcock , C. E. and Smith , J. A. 1986 . On the nature of models in remote sensing. . Remote Sensing of Environment , 20 : pp. 121 – 139 .
   Web of Science ®Google Scholar
• Tatem , A. J. , Lewis , H. G. , Atkinson , P. M. and Nixon , M. S. 2003 . Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network. . International Journal of Geographical Information Science , 17 : pp. 673 – 697 .
   Web of Science ®Google Scholar
• Tso , B. and Mather , P. M. 2001 . Classification Methods for Remotely Sensed Data , New York : Taylor and Francis .
   Google Scholar
• Verhoeye , J. and De Wulf , R. R. 2002 . Land cover mapping at the sub‐pixel scale using linear optimisation techniques. . Remote Sensing of Environment , 79 : pp. 96 – 104 .
   Web of Science ®Google Scholar
• Woodcock , C. E. and Strahler , A. H. 1987 . The factor of scale in remote sensing. . 21 : pp. 311 – 322 . Remote Sensing of Environment
   Google Scholar
• Wu , J. 1999 . Hierarchy and scaling: extrapolating information along a scaling ladder. . Canadian Journal of Remote Sensing , 25 : pp. 367 – 380 .
   Google Scholar
• Zhan , Q. , Molenaar , 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 (Eds) . pp. 59 – 76 . Chichester : Wiley & Sons . In
   Google Scholar