Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA
文献类型：期刊论文
| 作者 | Hao, Pengyu1; Wang, Li1; Zhan, Yulin1; Wang, Changyao1; Niu, Zheng1; Wu, Mingquan1 |
| 刊名 | European Journal of Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 49页码:1061-1077 |
| 通讯作者 | Wang, Li (wangli@radi.ac.cn) |
| 英文摘要 | Crop-type distribution products of the previous-year were used to generate training samples in the classification year. For each pixel, if the frequency of one crop was higher than 50%, the pixel was assumed to be a “possible training sample” of the high-frequency crop. Next, features of the “possible samples” were compared with reference crop features, and matching “possible samples” were confirmed as training samples. The Crop Data Layer (CDL) in Southwest Kansas during 2006-2013 was used as the crop products and MODIS EVI time series were crop features; training samples in 2014 were then acquired. Most of these training samples had the same crop label as the 2014 CDL data, and the training samples achieved good classification accuracies. © 2016 by the authors; licensee Italian Society of Remote Sensing (AIT). |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20165203168432 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39578]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, CAS Olympic S & T Park, No. 20 Datun Road, P.O. Box 9718, Beijing 2.100101, China 3. University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 4.100049, China |
| 推荐引用方式 GB/T 7714 | Hao, Pengyu,Wang, Li,Zhan, Yulin,et al. Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA[J]. European Journal of Remote Sensing,2016,49:1061-1077. |
| APA | Hao, Pengyu,Wang, Li,Zhan, Yulin,Wang, Changyao,Niu, Zheng,&Wu, Mingquan.(2016).Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA.European Journal of Remote Sensing,49,1061-1077. |
| MLA | Hao, Pengyu,et al."Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA".European Journal of Remote Sensing 49(2016):1061-1077. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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