太阳成8722(中国)有限公司-GREEN NO.1

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