Land Cover Classification from MODIS Satellite Data Using Probabilistically Optimal Ensemble of Artificial Neural Networks

Author:

Mackin Kenneth J.,Nunohiro Eiji,Ohshiro Masanori,Yamasaki Kazuko

Publisher

Springer Berlin Heidelberg

Reference4 articles.

1. Shkvarko, Y., Montiel, J., Rizo, L., Salas, J.: Neural Network-Based Signal Processing for Enhancing the Multi-Sensor Remote Sensing Imagery. In: 14th International Conference on Electronics, Communications and Computers, pp. 168–172 (2004)

2. Roli, F., Serpico, S.B., Bruzzone, L.: Classification of Multisensor Remote-Sensing Images by Multiple Structured Neural Networks. In: 13th International Conference on Pattern Recognition (ICPR 1996), vol. 4, pp. 180–184 (1996)

3. Kushardono, D., Fukue, K., Shimoda, H., Sakata, T.: A Study on Neural Network Landcover Classification Models with the aid of Co-occurence Matrix for Multiband Images. Journal of The Remote Sensing Society of Japan 16(1), 36–49 (1996) (in Japanese)

4. Imamura, K., Smith, K.: A Probabilistically Optimal Ensemble Technique for Training Based Classifiers. In: Proceedings of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems, Japan (2004)

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