Specific Changes Detection in Visible-Band VHR Images using Classification Likelihood Space
文献类型：会议论文
| 作者 | 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)
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| 出版日期 | 2015-12 |
| 会议日期 | 2015-12 |
| 会议地点 | 马来西亚，吉隆坡 |
| 关键词 | Very High Resolution Images Change Detection |
| 英文摘要 | 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. |
| 会议录 | 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)
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| 源URL | [http://ir.ia.ac.cn/handle/173211/14581]  |
| 专题 | 自动化研究所_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 |
| 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]. 见:. 马来西亚，吉隆坡. 2015-12. |
入库方式： OAI收割
来源：自动化研究所
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