참고문헌
- Atkinson, P. M., 1997. Mapping sub-pixel boundaries from remotely sensed images.. In: Z. K. (Ed.), ed. Innovation in GIS 4. London: Taylor & Francis, pp. 166-180.
- Atkinson, P. M., 2008. Super-Resolution Mapping Using the Two-Point Histogram and Multi-Source Imagery. In: A. S. e. al, ed. geoENV VI - Geostatistics for Environmental Applications. Netherlands: Springer , pp. 307-321.
- Bast in, 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, pp. 3629-3648.
- Brown, M., Lewis, H. & Gunn, S., 2000. Linear spectral mixture models and Support Vector Machines for Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing, pp. 2346-2360.
- Foody, G. M., 2004. Sub-pixel methods in Remote Sensing. In: Remote Sensing Image Analysis. Dortrecht: Kluwer Academic Publisher, pp. 37-49.
- Foody, G. M., Lucas, R. M., Curran, P. J. & Honzak, M., 1997. Non-linear mixture modelling without end-members using an artificial neural network.. International Journal of Remote Sensing, pp. 937-953..
- Ling, F. et al., 2010. Super-resolution land-cover mapping using multiple sub-pixel shifted remotely sensed images. International Journal of Remote Sensing, 31(19), pp. 5023-504. https://doi.org/10.1080/01431160903252350
- Mehrotra, K., Mohan, K. C. & S., R., 1997. Elements of Artificial Neural Networks. Cambridge, Massachusetts: The MIT press.
- Mertens, K. C., Verbeke, L. P. C., I., D. E. & De Wulf, R. R., 2003. Using genetic algorithms in sub-pixel mapping. International Journal of Remote Sensing, Volume 24, pp. 4241-4247. https://doi.org/10.1080/01431160310001595073
- Minh, N. Q., 2006. PhD thesis: Super-resolution mapping using Hopfield Neuron Network with supplementary data, Southampton: Southampton Library.
- Muad, A. & Foody, G., 2010. Super-resolution mapping using multiple observations and Hopfield neural network. Toulouse, France, Proceedings of the SPIE Remote Sensing.
- Schowengert, R. A., 1996. On the estimation of spatialspectral mixing with classifier likelihood functions. Pattern Recognition Letter, pp. 1379-1387.
- Settle, J. J. & Drake, N. A., 1993. Linear mixing and the estimation of ground cover proportions. International Journal of Remote Sensing, pp. 1159-1177.
- Tatem, A. J., Lewis, H. G., Atkinson, P. M. & Nixon, M. S., 2001. Multi-class land cover mapping at the sub-pixel scale using a Hopfield neural network. International Journal of Applied Earth Observation and Geoinformation, Volume 3, pp. 184-190. https://doi.org/10.1016/S0303-2434(01)85010-8
- Verhoeye, J. & De Wulf, R., 2002. Remote Sensing of Environment. Land cover mapping at sub-pixel scales using linear optimisation techniques, Volume 79, pp. 96-104.
- Zhang, L., Wu, K., Zhong, Y. & Li, P., 2008. A new subpixel mapping algorithm based on a BP neural network with an observation model. Neurocomputing, Volume 71, pp. 2046-2054. https://doi.org/10.1016/j.neucom.2007.08.033
피인용 문헌
- Application of Remote Sensing and GIS technology for monitoring coastal changes in estuary area of the Red river system, Vietnam vol.31, pp.6, 2012, https://doi.org/10.7848/ksgpc.2013.31.6-2.529