Support info of Remote sensing monitoring of wheat aphids by combining HJ satellite images with least square twin support vector machine model.


	2017, Vol. 43(2): 211-219 DOI: 10.3785/j.issn.1008-9209.2016.08.021

	Remote sensing monitoring of wheat aphids by combining HJ satellite images with least square twin support vector machine model.
	HU Gensheng^{1, 2}, WU Wentian^{1, 2, 3}, LUO Juhua⁴, HUANG Wenjiang^{1, 2, 3*}, LIANG Dong^{1, 2}, HUANG Linsheng^{1, 2}
	（1. Anhui Engineering Laboratory of Agro- Ecological Big Data, Anhui University, Hefei 230601, China; 2. School of Electronics and Information Engineering, Anhui University, Hefei 230601, China; 3. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 4. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China）
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