IDeRs: Iterative dehazing method for single remote sensing image

doi:10.1016/j.ins.2019.02.058

CORC > 国家天文台 > 中国科学院国家天文台

	IDeRs: Iterative dehazing method for single remote sensing image
	Xu, Long 1; Zhao, Dong 1,2; Yan, Yihua 1; Kwong, Sam 3; Chen, Jie 4; Duan, Ling-Yu 4,5
刊名	INFORMATION SCIENCES
	2019-07-01
卷号	489 页码:50-62
关键词	Single image dehazing Iterative dehazing Virtual depth Haze-line prior Remote sensing image IDeRs
ISSN号	0020-0255
DOI	10.1016/j.ins.2019.02.058
英文摘要	Remote sensing images (RSIs) taken in hazy conditions, such as haze, fog, thin could, snow, silt, dust, offgas, etc., suffer from sever color and contrast degradations. Dehazing algorithm is therefore highly demanded to restore hazed RSIs from their degradations. In the literatures, most dehazing algorithms were originally designed for natural images dehazing (NID). For our analysis, the physical model of NID is different from that of RSI dehazing (RSID), which was not clearly addressed yet. In this paper, a new concept of "virtual depth" concerning physical model of RSI is firstly raised. Virtual depth is different from real depth of nature image in that the former gives the distance of an object departing from the foreground, while the later measures the coverings of the earth's surface, such as snow, dust, cloud and haze/fog. These coverings act as the hazes in a natural image, providing the hint of foreground and background. Secondly, an Iterative Dehazing for Remote Sensing image (IDeRS) is proposed, in which dehazing operator is implemented iteratively to remove haze progressively until arriving at a satisfied result. In IDeRS, we also raise a fusion model for combining patch-wise and pixel-wise dehazing operators to overcome both halos and over-saturation caused by them respectively. Extensive experimental results tested on publicly available databases demonstrate that the proposed IDeRS outperforms most state-of-the-arts in RSID. (C) 2019 Published by Elsevier Inc.
资助项目	National Natural Science Foundation of China (NSFC)[61672443] ; National Natural Science Foundation of China (NSFC)[61572461] ; National Natural Science Foundation of China (NSFC)[6166114605] ; National Natural Science Foundation of China (NSFC)[U1611461] ; National Natural Science Foundation of China (NSFC)[11433006] ; National Natural Science Foundation of China (NSFC)[11790301] ; National Natural Science Foundation of China (NSFC)[11790305] ; Hong Kong RGC General Research Funds[9042489 (CityU 11206317)] ; Hong Kong RGC General Research Funds[9042322 (CityU 1120011)] ; PKU-NTU Joint Research Institute (JRI) ; CAS "100-Talents"
WOS关键词	HAZE REMOVAL ; OBJECT DETECTION ; SATELLITE DATA ; FRAMEWORK
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000466255100004
资助机构	National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Hong Kong RGC General Research Funds ; Hong Kong RGC General Research Funds ; PKU-NTU Joint Research Institute (JRI) ; PKU-NTU Joint Research Institute (JRI) ; CAS "100-Talents" ; CAS "100-Talents" ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Hong Kong RGC General Research Funds ; Hong Kong RGC General Research Funds ; PKU-NTU Joint Research Institute (JRI) ; PKU-NTU Joint Research Institute (JRI) ; CAS "100-Talents" ; CAS "100-Talents" ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Hong Kong RGC General Research Funds ; Hong Kong RGC General Research Funds ; PKU-NTU Joint Research Institute (JRI) ; PKU-NTU Joint Research Institute (JRI) ; CAS "100-Talents" ; CAS "100-Talents" ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Hong Kong RGC General Research Funds ; Hong Kong RGC General Research Funds ; PKU-NTU Joint Research Institute (JRI) ; PKU-NTU Joint Research Institute (JRI) ; CAS "100-Talents" ; CAS "100-Talents"
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/26058]
专题	中国科学院国家天文台
通讯作者	Xu, Long; Kwong, Sam
作者单位	1.Chinese Acad Sci, Natl Astron Observ, Key Lab Solar Act, Beijing 100012, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.City Univ Hong Kong, Hong Kong, Peoples R China 4.Peking Univ, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China 5.Peng Cheng Lab, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Xu, Long,Zhao, Dong,Yan, Yihua,et al. IDeRs: Iterative dehazing method for single remote sensing image[J]. INFORMATION SCIENCES,2019,489:50-62.
APA	Xu, Long,Zhao, Dong,Yan, Yihua,Kwong, Sam,Chen, Jie,&Duan, Ling-Yu.(2019).IDeRs: Iterative dehazing method for single remote sensing image.INFORMATION SCIENCES,489,50-62.
MLA	Xu, Long,et al."IDeRs: Iterative dehazing method for single remote sensing image".INFORMATION SCIENCES 489(2019):50-62.