CIOMP OpenIR
Single Remote-Sensing Image Dehazing in HSI Color Space
Y.F.Guo; Z.S.Zhang; H.F.Yuan; S.Shao
2019
发表期刊Journal of the Korean Physical Society
ISSN0374-4884
卷号74期号:8页码:779-784
摘要In order to improve the visibility of a single hazy remote sensing multi-spectral image, we develop a novel and effective dehazing algorithm in HSI (hue, saturation and intensity) color space. First of all, the hazy image is transformed into HSI color space; then a linear regression model is built for saturation component image processing. In addition, we implement the improved dark channel prior method in the intensity channel processing. Compared with the traditional haze removal methods in remote-sensing images, the experimental results demonstrate that the developed algorithm can achieve better visual effect and better color fidelity. Both qualitative evaluations and quantitative assessments indicate that the proposed method achieves a better performance than the state-of-the-art methods.
关键词Remote-sensing image,HSI color space,Haze removal,Linear regression,model,enhancement
DOI10.3938/jkps.74.779
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收录类别SCI
语种英语
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/63353
专题中国科学院长春光学精密机械与物理研究所
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Y.F.Guo,Z.S.Zhang,H.F.Yuan,et al. Single Remote-Sensing Image Dehazing in HSI Color Space[J]. Journal of the Korean Physical Society,2019,74(8):779-784.
APA Y.F.Guo,Z.S.Zhang,H.F.Yuan,&S.Shao.(2019).Single Remote-Sensing Image Dehazing in HSI Color Space.Journal of the Korean Physical Society,74(8),779-784.
MLA Y.F.Guo,et al."Single Remote-Sensing Image Dehazing in HSI Color Space".Journal of the Korean Physical Society 74.8(2019):779-784.
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