典型文献
Retrieval of Significant Wave Height Under Typhoon Conditions from Gaofen-3 SAR Imagery
文献摘要：
The objective of this paper is to propose an empirical method to inverse significant wave height (SWH) under typhoon conditions from collected dual-polarization Gaofen (GF)-3 synthetic aperture radar (SAR) imagery. The typhoon scenes were cap-tured from narrow scan (NSC) and wide scan (WSC) images, and collocated with European Center for Medium-Range Weather Fore-casts reanalysis data of (ECMWF). To improve the quality of GF-3 SAR images, the recalibration over rainforest and de-scalloping were carried out. To establish the empirical relationship between SAR-derived parameters and collocated SWH, the sensitivity analysis of typical parameters about the normalized radar cross section (Nrcs) and imagery variance (Cvar) were performed to both VV and VH polarized images. Four scenes from GF-3 SAR imagery under typhoon conditions were used for training the model by the multivari-ate least square regression, and one scene was used for preliminary validation. It was found that the joint retrieval model based on VV and VH polarized SAR imagery performed better than any single polarized model. These results, verified by using ECMWF data, revealed the soundness of this approach, with a correlation of 0.95, bias of 0 m, RMSE of 0.44 and SI of 0.01 when VV polarization and VH polarization data were both used.
文献关键词：
中图分类号：
作者姓名：
WANG Xiaochen;HAN Bing;ZHONG Lihua;YUAN Xinzhe
作者机构：
Aerospace Information Research Institute,Chinese Academy of Science,Beijing 100190,China;Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems,Aerospace Information Research Institute,Chinese Academy of Science,Beijing 100190,China;The National Satellite Ocean Applications Center,Beijing 100081,China
文献出处：
引用格式：
[1]WANG Xiaochen;HAN Bing;ZHONG Lihua;YUAN Xinzhe-.Retrieval of Significant Wave Height Under Typhoon Conditions from Gaofen-3 SAR Imagery)[J].中国海洋大学学报（自然科学英文版）,2022(01):81-90
A类：
scalloping,Nrcs,Cvar,multivari
B类：
Retrieval,Significant,Wave,Height,Under,Typhoon,Conditions,from,Gaofen,SAR,Imagery,objective,this,paper,propose,empirical,method,inverse,significant,wave,height,SWH,under,typhoon,conditions,collected,dual,polarization,GF,synthetic,aperture,radar,imagery,scenes,were,cap,tured,narrow,scan,NSC,wide,WSC,images,collocated,European,Center,Medium,Range,Weather,Fore,casts,reanalysis,data,ECMWF,To,improve,quality,recalibration,over,rainforest,carried,establish,relationship,between,derived,parameters,sensitivity,typical,about,normalized,cross,section,variance,performed,both,VV,VH,polarized,Four,used,training,model,by,least,square,regression,one,was,preliminary,validation,It,found,that,joint,retrieval,better,than,any,single,These,results,verified,using,revealed,soundness,approach,correlation,bias,RMSE,SI,when
AB值：
0.576554
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
