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An efficient multi-resolution variational Retinex scheme for the radiometric correction of airborne remote sensing images

发布日期:2016-11-30 23:59:18 阅读次数:[1708]次 作者:

核心提示:来源出版物: INTERNATIONAL JOURNAL OF REMOTE SENSING

作者: Li, HF (Li, Huifang); Wang, XJ (Wang, Xiaojing); Shen, HF (Shen, Huanfeng); Yuan, QQ (Yuan, Qiangqiang); Zhang, LP (Zhang, Liangpei)
来源出版物: INTERNATIONAL JOURNAL OF REMOTE SENSING  卷: 37  期: 5  页: 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.


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