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Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework

文献类型：期刊论文

作者S.Shao; Y.F.Guo; Z.S.Zhang; H.F.Yuan
刊名Mathematical Problems in Engineering
出版日期2019
卷号2019页码:8
关键词haze-relevant features,removal,vision,Engineering,Mathematics
ISSN号1024-123X
DOI10.1155/2019/4131378
英文摘要Given that a single remote sensing image dehazing is an ill-posed problem, this is still a challenging task. In order to improve the visibility of a single hazy remote sensing multispectral image, we developed a novel and effective algorithm based on a learning framework. A linear regression model with the relevant features of haze was established. And the gradient descent method is applied to the learning model. Then a hazy image accurate transmission map is obtained by learning the coefficients of the linear model. In addition, we proposed a more effective method to estimate the atmospheric light, which can restrain the influence of highlight areas on the atmospheric light acquisition. Compared with the traditional haze removal methods, the experimental results demonstrate that the proposed algorithm can achieve better visual effect and color fidelity. Both subjective evaluation and objective assessments indicate that the proposed method achieves a better performance than the state-of-the-art methods.
语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/63078]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714		 S.Shao,Y.F.Guo,Z.S.Zhang,et al. Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework[J]. Mathematical Problems in Engineering,2019,2019:8.
APA S.Shao,Y.F.Guo,Z.S.Zhang,&H.F.Yuan.(2019).Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework.Mathematical Problems in Engineering,2019,8.
MLA S.Shao,et al."Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework".Mathematical Problems in Engineering 2019(2019):8.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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