Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis
文献类型：期刊论文
| 作者 | Ge, Y ; Bai, HX ; Wang, JF ; Cao, F(曹峰) |
| 刊名 | JOURNAL OF SPATIAL SCIENCE
 |
| 出版日期 | 2012 |
| 卷号 | 57期号:2页码:135-152 |
| 关键词 | quality assessment of training data rough set measures correlation analysis |
| 通讯作者 | Ge, Y |
| 英文摘要 | Training data play an important role in the supervised classification process of remotely sensed images. Its quality is an important factor affecting the accuracy of image classification. Therefore, measuring the quality of training data is essential for classification procedures and subsequent operations. This paper discusses a new method for the quality assessment of training data before the classification procedure and investigates the correlation between measures for training data and measures for classified images at category and image level, respectively. Five groups of sample data collected from a Landsat TM image were used in correlation analyses. The results demonstrate that the proposed method is valid for measuring the quality of training data and can, to some extent, reflect the quality of classified images which are obtained through supervised classification with the corresponding training dataset. |
| 收录类别 | SCI |
| 资助信息 | National Natural Science Foundation of China 40971222;Knowledge Innovation Program of the Chinese Academy of Sciences KZCX2-EW-QN303 |
| 公开日期 | 2013-05-28 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/27892]  |
| 专题 | 地理科学与资源研究所_研究生部 |
| 推荐引用方式 GB/T 7714 | Ge, Y,Bai, HX,Wang, JF,et al. Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis[J]. JOURNAL OF SPATIAL SCIENCE,2012,57(2):135-152. |
| APA | Ge, Y,Bai, HX,Wang, JF,&Cao, F.(2012).Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis.JOURNAL OF SPATIAL SCIENCE,57(2),135-152. |
| MLA | Ge, Y,et al."Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis".JOURNAL OF SPATIAL SCIENCE 57.2(2012):135-152. |
入库方式： OAI收割
来源：地理科学与资源研究所
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