Remote sensing image defogging based on dark channel prior

	Remote sensing image defogging based on dark channel prior
	Dai, S.; W. Xu; Y. Piao and Y. Chen
	2017
发表期刊	Guangxue Xuebao/Acta Optica Sinica
卷号	37 期号:3
摘要	Aiming at solving the problems of remote sensing images with poor clarity, contrast and color fidelity in foggy weathers, a rapid defogging method using dark channel prior is proposed based on the characteristics of large amount of data, small changes in depth and almost no area of the sky. To ensure the performance of defogging, the dark channel image is obtained by calculating the minimum value of r, g, b channels. It significantly reduces the complexity and avoids heavy computation. Experimental results demonstrate that the improved algorithm can remove the haze effectively. It can enhance the definition and color of hazy degraded image, and the processing time is 2% of the original method. The proposed algorithm can satisfy the requirement of real-time remote sensing image processing. 2017, Chinese Lasers Press. All right reserved.
收录类别	ei
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/58871
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Dai, S.,W. Xu,Y. Piao and Y. Chen. Remote sensing image defogging based on dark channel prior[J]. Guangxue Xuebao/Acta Optica Sinica,2017,37(3).
APA	Dai, S.,W. Xu,&Y. Piao and Y. Chen.(2017).Remote sensing image defogging based on dark channel prior.Guangxue Xuebao/Acta Optica Sinica,37(3).
MLA	Dai, S.,et al."Remote sensing image defogging based on dark channel prior".Guangxue Xuebao/Acta Optica Sinica 37.3(2017).

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