IGSNRR OpenIR
Single image dehazing for visible remote sensing based on tagged haze thickness maps
Jiang, Hou1,2; Lu, Ning1,3; Yao, Ling1,3; Zhang, Xingxing1,2
2018
Source PublicationREMOTE SENSING LETTERS
ISSN2150-704X
Volume9Issue:7Pages:627-635
Corresponding AuthorLu, Ning(ning.robin@gmail.com)
AbstractHaze degrades the quality of optical remote sensing data and reduces the accuracy of interpretation and classification. In this paper, we present an empirical single image-based haze removal method. Our work relies on an additive haze model, which describes at-satellite acquired radiance as the sum of globally constant path radiance, surface reflected radiance and spatially varying haze contribution. First, we search a tagged haze thickness map in band blue, green, red and near-infrared. Then a proportional strategy is adopted to infer haze thickness map of selected starting band from tagged haze thickness map and gain haze thickness map of other spectral bands from the starting band. Finally, haze is removed through subtracting haze thickness map from each band. The method is applicable for medium- and high- resolution satellite images and can handle scenes affected by different haze depths. Dehazed results are in good quality with improved visibility, enhanced image information and highly spectral consistency. The algorithm is simple enough and requires no human intervention, making it possible for use of non-experts and implementation of automatic batch processing.
DOI10.1080/2150704X.2018.1456701
WOS KeywordREMOVAL
Indexed BySCI
Language英语
Funding ProjectYong Talent Fund of Institute of Geographic Sciences and Natural Resources Research[2015RC203]
Funding OrganizationYong Talent Fund of Institute of Geographic Sciences and Natural Resources Research
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000432217300002
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54969
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLu, Ning
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Jiang, Hou,Lu, Ning,Yao, Ling,et al. Single image dehazing for visible remote sensing based on tagged haze thickness maps[J]. REMOTE SENSING LETTERS,2018,9(7):627-635.
APA Jiang, Hou,Lu, Ning,Yao, Ling,&Zhang, Xingxing.(2018).Single image dehazing for visible remote sensing based on tagged haze thickness maps.REMOTE SENSING LETTERS,9(7),627-635.
MLA Jiang, Hou,et al."Single image dehazing for visible remote sensing based on tagged haze thickness maps".REMOTE SENSING LETTERS 9.7(2018):627-635.
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