Multiple-class land-cover mapping at the sub-pixel scale using a Hopfield neural network

ITC Journal

Volumn 3, Issue 2, 2001, Pages 184-190

  Tatern, Andrew J ^a   Lewis, Hugh G ^a   Atkinson, Peter M ^a   Nixon, Mark S ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Accuracy assessment; Constraints; Energy function; Neurons; Optimization; Remote sensing; Soft classification; Spatial resolution

Indexed keywords

EID: 33646268647     PISSN: 03032434     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

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2. Atkinson, P.M., M.E.J. Cutler & H. Lewis, 1997. Mapping sub-pixel proportional land cover with AVHRR imagery. International Journal of Remote Sensing 18: 917-935.
3. Brown, M., S.R. Gunn & H.G. Lewis, 1999. Support vector machines for optimal classification and spectral unmixing. Ecological Modelling 120: 167-179.
4. Fisher, P., 1997. The pixel: a snare and a delusion. International Journal of Remote Sensing 18: 679-685.
5. Garcia-Haro, F.J., M.A. Gilabert & J. Melia, 1996. Linear spectral mixture modelling to estimate vegetation amount from optical spectral data. International Journal of Remote Sensing 17: 3373-3400.
6. Hopfield, J. & D.W. Tank, 1985. Neural computation of decisions in optimization problems. Biological Cybernetics 52: 141-152.
7. Matheron, G., 1965. Les variables régionalisées et leur estimation. Masson, Paris.
8. Schowengerdt, R.A., 1997. Remote Sensing: Models and Methods for Image Processing, Academic Press, San Diego, CA.
9. Tatem, A.J., H.G. Lewis, P.M. Atkinson & M.S. Nixon, 2000. Land cover simulation and prediction at the sub-pixel scale using a Hopfield neural network. Proceedings, 26th Annual Conference and Exhibition of the Remote Sensing Society, Leicester, UK; 12-14 September 2000. The Remote Sensing Society, Nottingham.