Simultaneous change region and pattern identification for VHR images
Huo LG(霍雷刚)1,2; Huo CL(霍春雷)1; Huo CL(霍春雷)
2016-07
会议名称IEEE International Geoscience and Remote Sensing Symposium
会议录名称IEEE International Geoscience and Remote Sensing Symposium
会议日期2016.7.10-2016.7.15
会议地点北京
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.
关键词Change Detection Change Pattern Feature Classification Feature Transformation Distance Tuning.
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12336
专题模式识别国家重点实验室_先进数据分析与学习
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],2016.
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