Specific Changes Detection in Visible-Band VHR Images using Classification Likelihood Space | |
Li FM(李非墨); Li SX(李书晓); Zhu CF(朱承飞); Lan XS(兰晓松); Chang HX(常红星); Li FM(李非墨) | |
2015-12 | |
会议名称 | 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR) |
会议录名称 | 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR) |
会议日期 | 2015-12 |
会议地点 | 马来西亚,吉隆坡 |
摘要 | Object-based post-classification change detection methods are effective for very high resolution images, but their effectiveness is limited by incomplete class hierarchy and complex image object comparison. In this paper, a novel Classification Likelihood Space (CLS) is proposed to synthesize the effective object-based image analysis and easy-to-implement post-classification comparison, serving as a well tradeoff between performance and complexity. The proposed algorithm is tested on a dataset which comprises 102 pairs of visible-band very high resolution real satellite images, and a great improvement is observed over traditional post-classification comparison. |
关键词 | Very High Resolution Images Change Detection |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14581 |
专题 | 综合信息系统研究中心 |
通讯作者 | Li FM(李非墨) |
作者单位 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li FM,Li SX,Zhu CF,et al. Specific Changes Detection in Visible-Band VHR Images using Classification Likelihood Space[C],2015. |
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