Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework

doi:10.1155/2019/4131378

CIOMP OpenIR

	Single Remote Sensing Multispectral Image Dehazing Based on a Learning Framework
	S.Shao; Y.F.Guo; Z.S.Zhang; H.F.Yuan
	2019
发表期刊	Mathematical Problems in Engineering
ISSN	1024-123X
卷号	2019 页码:8
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.
关键词	haze-relevant features,removal,vision,Engineering,Mathematics
DOI	10.1155/2019/4131378
收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	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.

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