Identifying change in a dynamic urban landscape: a neural network approach to map-updating

[1]  D. Stow,et al.  Land use change detection based on multi-date imagery from different satellite sensor systems , 1990 .

[2]  S. Khorram,et al.  Remotely Sensed Change Detection Based on Artificial Neural Networks , 1999 .

[3]  A. Strahler,et al.  Artificial neural network response to mixed pixels in coarse-resolution satellite data , 1996 .

[4]  R. Congalton,et al.  Accuracy assessment: a user's perspective , 1986 .

[5]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[6]  Horst Bischof,et al.  Finding optimal neural networks for land use classification , 1998, IEEE Trans. Geosci. Remote. Sens..

[7]  Elke U. Weber,et al.  Descriptive and prescriptive models of decision-making: implications for the development of decision aids , 1990, IEEE Trans. Syst. Man Cybern..

[8]  J. R. Jensen Urban Change Detection Mapping Using Landsat Digital Data , 1981 .

[9]  Giles M. Foody,et al.  Land Cover Classification by an Artificial Neural Network with Ancillary Information , 1995, Int. J. Geogr. Inf. Sci..

[10]  P. Longley,et al.  Remote Sensing and Urban Analysis , 2001 .

[11]  G. H. Rosenfield,et al.  A coefficient of agreement as a measure of thematic classification accuracy. , 1986 .

[12]  M. Ridd,et al.  A Comparison of Four Algorithms for Change Detection in an Urban Environment , 1998 .

[13]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[14]  B. S. Manjunath,et al.  Registration Techniques for Multisensor Remotely Sensed Imagery , 1996 .

[15]  W. D. Ross,et al.  Change Detection using Adaptive Fuzzy neural networks : Environmental damage assessment after the Gulf War , 1999 .

[16]  Douglas A. Stow,et al.  Category identification of changed land-use polygons in an integrated image processing/geographic information system , 1992 .

[17]  Tavi Murray Computational intelligence techniques in geography. An introduction , 1999, J. Geogr. Syst..

[18]  Alan H. Strahler,et al.  On the nature of models in remote sensing , 1986 .

[19]  Gail A. Carpenter,et al.  ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data , 1997, IEEE Trans. Geosci. Remote. Sens..

[20]  I. Kanellopoulos,et al.  Strategies and best practice for neural network image classification , 1997 .

[21]  Robert A. Schowengerdt,et al.  A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery , 1995 .

[22]  S. Gopal,et al.  Remote sensing of forest change using artificial neural networks , 1996, IEEE Trans. Geosci. Remote. Sens..

[23]  S. Barr,et al.  INFERRING URBAN LAND USE FROM SATELLITE SENSOR IMAGES USING KERNEL-BASED SPATIAL RECLASSIFICATION , 1996 .

[24]  Richard G. Lathrop,et al.  Urban change detection based on an artificial neural network , 2002 .

[25]  Manfred M. Fischer,et al.  A comparison of three neural network classifiers for remote sensing classification , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[26]  G. M. Foody The Continuum of Classification Fuzziness in Thematic Mapping , 1999 .

[27]  P. Atkinson,et al.  Introduction Neural networks in remote sensing , 1997 .

[28]  R. Congalton A Quantitative Method to Test for Consistency and Correctness in Photointerpretation , 1983 .

[29]  Giles M. Foody,et al.  Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data , 1996 .

[30]  K. Seto,et al.  Comparing ARTMAP Neural Network with the Maximum-Likelihood Classifier for Detecting Urban Change , 2003 .

[31]  P. Gong,et al.  Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks , 1996 .

[32]  Stephen W. Wharton,et al.  A contextual classification method for recognizing land use patterns in high resolution remotely sensed data , 1982, Pattern Recognit..

[33]  S. Aronoff,et al.  Application of landsat imagery and surficial geochemistry to the discovery of tungstenskam deposits associated with buried plutons, Yukon and northwest territories, Canada , 1988 .

[34]  S. Ventura,et al.  THE INTEGRATION OF GEOGRAPHIC DATA WITH REMOTELY SENSED IMAGERY TO IMPROVE CLASSIFICATION IN AN URBAN AREA , 1995 .

[35]  S. Barr,et al.  Inferring Urban Land Use by Spatial and Structural Pattern Recognition , 2001 .

[36]  Deryn Graham,et al.  Knowledge-based image processing systems , 1997, Applied computing.

[37]  Ashbindu Singh,et al.  Review Article Digital change detection techniques using remotely-sensed data , 1989 .