A Novel Semi-Supervised Land Cover Classification Technique of Remotely Sensed Images

Author:

Banerjee Biplab,Buddhiraju Krishna Mohan

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Reference22 articles.

1. Bigdeli, B., Samadzadegan, F., & Reinartz, P. (2013). A multiple SVM system for classification of hyperspectral remote sensing data. Journal of the Indian Society of Remote Sensing, 1–14.

2. Bishop, C.M., & Nasrabadi, N.M. (2006). Pattern recognition and machine learning (vol. 1). New York: Springer.

3. Bruzzone, L., Chi, M., & Marconcini, M. (2006). A novel transductive svm for semisupervised classification of remote-sensing images. IEEE Transactions on Geoscience and Remote Sensing, 44(11), 3363–3373.

4. Cary, D. (2011). Estimating the margin of victory for instant-runoff voting. In Proceedings of the 2011 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE11). USENIX.

5. Chapelle, O., Schölkopf, B., & Zien, A. (2006). Semi-supervised learning (vol. 2). MIT press Cambridge.

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