참고문헌
- John A. Richards, 'Remote Sensing Digital Image Analysis : An Introduction,' Second, Revised and Enlarged Edition, Springer-Verlag, pp.229-262, 1994
- The Canada Centre for Reomote Sensing, http://www.ccrs.nrcan.gc.ca
- R. Schowengerdt, 'Techniques of Image Processing and Classification in Remote Sensing,' 1st Ed., Academic Press, pp.1-58, 1983
- David Landgrebe, 'Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data,'Chapter 1 of Information Processing for Remote Sensing, edited by C. H. Chen, published by the World Scientific Publishing Co., Inc., pp.1-30, Spring, 1999
- B.Gorte and A. Stein, 'Bayesian classification and class area esimation of satellite images using stratification,' IEEE Trans, On Geoscience and Remote Sensing, 36(3), p.303, 1998 https://doi.org/10.1109/36.673673
- Amal S. Perera, Masum H. Serazi, William Perrizo, 'Performance Improvement for Bayesian Classification on Spatial Data with P-Trees,' 15th International Conference on Computer Applications in Industry and Engineering(CAINE 2002), Nov., 2002
- Melgani, F., Hashemy, B. A. R. and Taha, S. M. R., 'An explicit fuzzy supervised classification method for multispectral remote sensing images,' Geoscience and Remote Sensing, IEEE Transactions on, Vol.38, Issue 1 Part 1, pp.287-295, 2000 https://doi.org/10.1109/36.823921
- Nakashiim, T., Nakai, G. and Ishibuchi, H., 'Improving the performance of fuzzy classification systems by membership function learning and feature selection,' Fuzzy Systems, FUZZ-IEEE '02. Proceedings of the 2002 IEEE International Conference on, Vol.1, pp.488-493, 2002 https://doi.org/10.1109/FUZZ.2002.1005039
- Mehmet I Saglam, Bingul Yazgan, Okan K Ersoy, 'Classification of Satellite Images by using Self-organizing map and Linear Support Vector Machine Decision tree,' GISdevelopment Conference Proceedings of Map Asia 2003
- Zhaocong Wu, 'Research on remote sensing image classification using neural networks based on rough sets,' Info-tech and Info-net, 2001, Proceedings. ICII 2002-Beijing, 2001 International Conference on, Vo.1, pp.279-28429, Nov., 2001 https://doi.org/10.1109/ICII.2001.982759
- Heermann, P. D. and Khazenie, N., 'Classification of multispectral remote sensing data using a back-pro-pagation neural network,' IEEE Trans. on Geosci. and Remote Sensing, Vol.30, No.1, pp.81-88, Jan., 1992 https://doi.org/10.1109/36.124218
- Nishii, R., 'A Markov random field-based approach to decision-level fusion for remote sensing image classification,' IEEE Transactions on, Vol.41, Issue 10 pp.2316-2319, Oct., 2003 https://doi.org/10.1109/TGRS.2003.816648
- Yuyu Zhou, Hong Chen, Qijang Zhu, 'The research of classification algorithm based on fuzzy clustering and neural network,' Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International, Vol.4, pp.2525-2527, June, 2002 https://doi.org/10.1109/IGARSS.2002.1026599
- F. R. D. Belasco, 'Thresholding using the isodata clustering algorithm,' IEEE Trans. Syst. Man, Cybern., Vol.SMC-10, pp.771-774, 1981
- ISOCLUS, Isodata Clustering Program, http://www. pcigeomatics.com/cgi-bin/pcihlp/m_isoclus/
- James C. Bezdek, 'Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, NY, 1981
- N. K. Pal and J. C. Bezdek, 'On Cluster Validity for the Fuzzy C-Means Model,' IEEE Trans. Fuzzy Syst., Vol.3, No.3, pp.370-379, 1995 https://doi.org/10.1109/91.413225
- Sun, W., 'A New Information Fusion Method for Land-Use Classification Using High Resolution Satellite Imagery,' Ph.D Dissertation, http://archimed.uni-mainz.de/pub/2000/0004, 2000
- Purdue/Laboratory for Applications of Remote Sensing http://dynamo.ecn.purdue.edu/~biehl/MultiSpec/.