UAV remote sensing atmospheric degradation image restoration based on multiple scattering APSF estimation

	UAV remote sensing atmospheric degradation image restoration based on multiple scattering APSF estimation
	Qiu, X.; M. Dai and C.-l. Yin
	2017
发表期刊	Optoelectronics Letters
卷号	13 期号:5
摘要	Unmanned aerial vehicle (UAV) remote imaging is affected by the bad weather, and the obtained images have the disadvantages of low contrast, complex texture and blurring. In this paper, we propose a blind deconvolution model based on multiple scattering atmosphere point spread function (APSF) estimation to recovery the remote sensing image. According to Narasimhan analytical theory, a new multiple scattering restoration model is established based on the improved dichromatic model. Then using the L0 norm sparse priors of gradient and dark channel to estimate APSF blur kernel, the fast Fourier transform is used to recover the original clear image by Wiener filtering. By comparing with other state-of-the-art methods, the proposed method can correctly estimate blur kernel, effectively remove the atmospheric degradation phenomena, preserve image detail information and increase the quality evaluation indexes. 2017, Tianjin University of Technology and Springer-Verlag GmbH Germany.
收录类别	sci ; ei
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/59165
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Qiu, X.,M. Dai and C.-l. Yin. UAV remote sensing atmospheric degradation image restoration based on multiple scattering APSF estimation[J]. Optoelectronics Letters,2017,13(5).
APA	Qiu, X.,&M. Dai and C.-l. Yin.(2017).UAV remote sensing atmospheric degradation image restoration based on multiple scattering APSF estimation.Optoelectronics Letters,13(5).
MLA	Qiu, X.,et al."UAV remote sensing atmospheric degradation image restoration based on multiple scattering APSF estimation".Optoelectronics Letters 13.5(2017).

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