Investigating Rice Cropping Practices and Growing Areas from MODIS Data Using Empirical Mode Decomposition and Support Vector Machines
Author:
Affiliation:
1. a National Central University, Taiwan
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.2747/1548-1603.49.1.117
Reference43 articles.
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3. Camps-Valls, G. and L. Bruzzone, 2005, "Kernel-Based Methods for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing , 43:1351-1362.
4. Cortes, C. and V. Vapnik, 1995, "Support-Vector Network," Machine Learning , 20:273-297.
5. FAO, 2003, FAO Statistical Databases, Rome, Italy: Food and Agriculture Organization of the United Nations.
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