Simultaneous change region and pattern identification for VHR images
文献类型：会议论文
| 作者 | Huo LG(霍雷刚)1,2; Huo CL(霍春雷)1 ; Huo CL(霍春雷)
|
| 出版日期 | 2016-07 |
| 会议日期 | 2016.7.10-2016.7.15 |
| 会议地点 | 北京 |
| 关键词 | Change Detection Change Pattern Feature Classification Feature Transformation Distance Tuning. |
| 英文摘要 | Very high resolution images are promising for detecting change regions and identifying change patterns. However, the low overall separability makes it difficult to discriminate change features. In this paper, a framework is proposed to simultaneously detect change regions and identify change patterns. A supervised approach is illustrated within this framework, which is aimed at reducing the overlaps between change classes by capturing the interclass difference and the intraclass similarity. Experiments demonstrate the effectiveness of the proposed approach. |
| 会议录 | IEEE International Geoscience and Remote Sensing Symposium
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12336]  |
| 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 | 1.Guangxi Teachers Education University 2.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Huo LG,Huo CL,Huo CL. Simultaneous change region and pattern identification for VHR images[C]. 见:. 北京. 2016.7.10-2016.7.15. |
入库方式： OAI收割
来源：自动化研究所
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