标题：ANALYSIS MODEL BASED RECOVERY OF REMOTE SENSING DATA作者：Li, Xinghua; Shen, Huanfeng; Li, Huifang; Zhang, Liangpei
来源出版物：Li, Xinghua 卷：2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) 页：2491-2494 出版年：2014
会议名称：IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议时间：JUL 13-18, 2014
会议地点：Quebec, CANADA
摘要：In the past decade, the synthesis-based methods have drawn people's attention more and more in the sparse representation community The synthesis model decomposes the data into a combination of a few atoms of the overcomplete dictionary. However, the dual analysis-based methods have not been studied deeply. The analysis model results in a sparse outcome by multiplying an analysis dictionary. This work proposes an analysis-based recovery of the missing information of remote sensing data, by extracting supplementary information from another term of data at a different period. Our method is verified by the qualitative and quantitative assessments in the experiments.
入藏号：WOS:000349688103121
文献类型：Proceedings Paper
语种：English
作者关键词：Analysis model, recovery, remote sensing, sparse representation, synthesis model
扩展关键词：SPARSE REPRESENTATION; K-SVD; ALGORITHM
通讯作者地址：Li, Xinghua; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.
电子邮件地址：shenhf@whu.edu.cn
地址：
[Li, Xinghua; Shen, Huanfeng; Li, Huifang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.
研究方向：Engineering; Geology; Remote Sensing
ISSN：2153-6996
ISBN:978-1-4799-5775-0
