Simultaneous Change Region and Change Pattern Identification for Very High Resolution Images
文献类型：期刊论文
| 作者 | Huo CL(霍春雷) ; Huo CL(霍春雷)
|
| 刊名 | Journal of Applied Remote Sensing
 |
| 出版日期 | 2017 |
| 卷号 | 1期号:1页码:1-10 |
| 关键词 | Change Detection Change Pattern Feature Classification Feature Learning Distance Tuning. |
| 英文摘要 | By taking advantages of fine details obtained by the improved spatial resolution, very high resolution images are promising for detecting change regions and identifying change patterns. However, high overlaps between different change patterns and the complexities of multi-class classification make it difficult to reliably separating change features. In this paper, a framework is proposed for simultaneously detecting change regions and identifying change patterns, whose components are aimed at capturing overlaps between change patterns and reducing overlaps driven by user-specific interests. To validate the effectiveness of the proposed framework, a supervised approach is illustrated within this framework, which starts with modeling the relationship between change features by interclass couples and intraclass couples, followed by metric learning where structural sparsity is captured by the mixed norm. Experiments demonstrate the effectiveness of the proposed approach. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15385]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 通讯作者 | Huo CL(霍春雷) |
| 作者单位 | 中国科学院自动化研究所模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Huo CL,Huo CL. Simultaneous Change Region and Change Pattern Identification for Very High Resolution Images[J]. Journal of Applied Remote Sensing,2017,1(1):1-10. |
| APA | Huo CL,&霍春雷.(2017).Simultaneous Change Region and Change Pattern Identification for Very High Resolution Images.Journal of Applied Remote Sensing,1(1),1-10. |
| MLA | Huo CL,et al."Simultaneous Change Region and Change Pattern Identification for Very High Resolution Images".Journal of Applied Remote Sensing 1.1(2017):1-10. |
入库方式： OAI收割
来源：自动化研究所
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