A spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images
文献类型：期刊论文
| 作者 | Xue, Cunjin1; Song, Wanjiao1; Qin, Lijuan1; Dong, Qing1; Wen, Xiaoyang1 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2015 |
| 卷号 | 38页码:978-994 |
| 关键词 | Marine association pattern Spatiotemporal mining framework Global change Remote sensing Pacific Ocean |
| 通讯作者 | Dong, Q (reprint author), Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China. |
| 英文摘要 | A spatiotemporal mining framework is a novel tool for the analysis of marine association patterns using multiple remote sensing images. From data pretreatment, to algorithm design, to association rule mining and pattern visualization, this paper outlines a spatiotemporal mining framework for abnormal association patterns in marine environments, including pixel-based and object-based mining models. Within this framework, some key issues are also addressed. In the data pretreatment phase, we propose an algorithm for extracting abnormal objects or pixels over marine surfaces, and construct a mining transaction table with object-based and pixel-based strategies. In the mining algorithm phase, a recursion method to construct a direct association pattern tree is addressed with an asymmetric mutual information table, and a recursive mining algorithm to find frequent items. In the knowledge visualization phase, a "Dimension-Attributes" visualization framework is used to display spatiotemporal association patterns. Finally, spatiotemporal association patterns for marine environmental parameters in the Pacific Ocean are identified, and the results prove the effectiveness and the efficiency of the proposed mining framework. (C) 2014 Elsevier B.V. All rights reserved. |
| 研究领域[WOS] | Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351970100012 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38202]  |
| 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.[Xue, Cunjin 2.Song, Wanjiao 3.Qin, Lijuan 4.Dong, Qing 5.Wen, Xiaoyang] Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xue, Cunjin,Song, Wanjiao,Qin, Lijuan,et al. A spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2015,38:978-994. |
| APA | Xue, Cunjin,Song, Wanjiao,Qin, Lijuan,Dong, Qing,&Wen, Xiaoyang.(2015).A spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,38,978-994. |
| MLA | Xue, Cunjin,et al."A spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 38(2015):978-994. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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