标题:An efficient multi-resolution variational Retinex scheme for the radiometric correction of airborne remote sensing images作者:Li, Huifang; Wang, Xiaojing; Shen, Huanfeng; Yuan, Qiangqiang; Zhang,Liangpei
来源出版物:INTERNATIONAL JOURNAL OF REMOTE SENSING 卷:37 期:5 页码:1154-1172 DOI: 10.1080/01431161.2016.1145364 出版年:MAR 2016
摘要:The brightness non-uniformity caused by vignetting effects, viewing, and illumination angels in remote sensing images reduces the interpretation precision. A multi-resolution variational Retinex scheme is proposed in this paper to efficiently correct the non-uniform brightness in airborne remote sensing images. This variational Retinex model is non-linear, constrained by the grey-world assumption and the total variation regularization. A Gaussian image pyramid is used to construct the multi-resolution scheme. The multi-resolution scheme reduces the calculation burden and raises the calculation efficiency. The fast split Bregman (SB) iteration method is employed to optimize the proposed non-linear model in each level of the multi-resolution scheme. This decomposes the complicated model into several simple sub-problems and greatly improves the calculation efficiency. The multi-resolution scheme embedded with the SB iteration method was applied to both synthetic and real remote sensing images. The experimental results show that the brightness non-uniformity can be corrected, and the spectral information can be effectively restored. Moreover, the calculation efficiency is raised by about 60-110 times, compared to the traditional single-resolution solving method.
入藏号:WOS:000372795700009
文献类型:Article
语种:English
扩展关键词:COLOR IMAGES; ENHANCEMENT; NORMALIZATION; DECOMPOSITION; RESTORATION; ALGORITHMS; FRAMEWORK; SYSTEM; MODEL
通讯作者地址:Shen, HF, Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.
电子邮件地址:shenhf@whu.edu.cn
地址:
[Li, Huifang; Shen, Huanfeng] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.
[Wang, Xiaojing] Baidu Com Times Technol Co Ltd, Beijing, Peoples R China.
[Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Liangpei] Collaborat Innovat Ctr Geospatial Technol, Wuhan, Peoples R China.
[Yuan, Qiangqiang] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430072, Peoples R China.
[Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China.
研究方向:Remote Sensing; Imaging Science & Photographic Technology
ISSN:0143-1161
eISSN: 1366-5901
影响因子(2014):1.652
版权所有 © bwin·必赢(中国)唯一官方网站
地址:湖北省武汉市珞喻路129号 邮编:430079
电话:027-68778381,68778284,68778296 传真:027-68778893 邮箱:sres@whu.edu.cn