A Novel Classification Technique of Landsat-8 OLI Image-Based Data Visualization: The Application of Andrews' Plots and Fuzzy Evidential Reasoning
文献类型:期刊论文
作者 | Boonprong, Sornkitja1; Cao, Chunxiang1; Torteeka, Peerapong2; Chen, Wei1 |
刊名 | REMOTE SENSING
![]() |
出版日期 | 2017-05-01 |
卷号 | 9期号:5 |
关键词 | classification Andrews' plots visualization pattern recognition learning system fuzzification Dempster-Shafer theory data transformation Landsat 8 remote sensing data |
英文摘要 | Andrews first proposed an equation to visualize the structures within data in 1972. Since then, this equation has been used for data transformation and visualization in a wide variety of fields. However, it has yet to be applied to satellite image data. The effect of unwanted, or impure, pixels occurring in these data varies with their distribution in the image; the effect is greater if impurity pixels are included in a classifier's training set. Andrews' curves enable the interpreter to select outlier or impurity data that can be grouped into a new category for classification. This study overcomes the above-mentioned problem and illustrates the novelty of applying Andrews' plots to satellite image data, and proposes a robust method for classifying the plots that combines Dempster-Shafer theory with fuzzy set theory. In addition, we present an example, obtained from real satellite images, to demonstrate the application of the proposed classification method. The accuracy and robustness of the proposed method are investigated for different training set sizes and crop types, and are compared with the results of two traditional classification methods. We find that outlier data are easily eliminated by examining Andrews' curves and that the proposed method significantly outperforms traditional methods when considering the classification accuracy. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Remote Sensing |
研究领域[WOS] | Remote Sensing |
关键词[WOS] | INFORMATION ; AREA |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000402573700030 |
源URL | [http://ir.bao.ac.cn/handle/114a11/8795] ![]() |
专题 | 国家天文台_应用天文研究部 |
作者单位 | 1.Univ Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100094, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China |
推荐引用方式 GB/T 7714 | Boonprong, Sornkitja,Cao, Chunxiang,Torteeka, Peerapong,et al. A Novel Classification Technique of Landsat-8 OLI Image-Based Data Visualization: The Application of Andrews' Plots and Fuzzy Evidential Reasoning[J]. REMOTE SENSING,2017,9(5). |
APA | Boonprong, Sornkitja,Cao, Chunxiang,Torteeka, Peerapong,&Chen, Wei.(2017).A Novel Classification Technique of Landsat-8 OLI Image-Based Data Visualization: The Application of Andrews' Plots and Fuzzy Evidential Reasoning.REMOTE SENSING,9(5). |
MLA | Boonprong, Sornkitja,et al."A Novel Classification Technique of Landsat-8 OLI Image-Based Data Visualization: The Application of Andrews' Plots and Fuzzy Evidential Reasoning".REMOTE SENSING 9.5(2017). |
入库方式: OAI收割
来源:国家天文台
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。