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Learning a Dilated Residual Network for SAR Image Despeckling.
Yang,Zhen; Zhang,Qiang; Ma,Xiaoshuang; Yuan,Qiangqiang; Li,Jie
刊名Remote Sensing
2018
卷号Vol.10 No.2页码:1-18
关键词NOISE REDUCTION TRANSFORM SPECKLE MODEL CLASSIFICATION SPARSE DOMAIN
ISSN号2072-4292
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2156511
专题安徽大学
作者单位1.Wuhan Univ, Int Sch Software, Wuhan 430079, Hubei, Peoples R China
2.Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China
3.Anhui Univ, Sch Resources & Environm Engn, Hefei 230000, Anhui, Peoples R China
4.Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Hubei, Peoples R China
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GB/T 7714
Yang,Zhen,Zhang,Qiang,Ma,Xiaoshuang,et al. Learning a Dilated Residual Network for SAR Image Despeckling.[J]. Remote Sensing,2018,Vol.10 No.2:1-18.
APA Yang,Zhen,Zhang,Qiang,Ma,Xiaoshuang,Yuan,Qiangqiang,&Li,Jie.(2018).Learning a Dilated Residual Network for SAR Image Despeckling..Remote Sensing,Vol.10 No.2,1-18.
MLA Yang,Zhen,et al."Learning a Dilated Residual Network for SAR Image Despeckling.".Remote Sensing Vol.10 No.2(2018):1-18.
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