中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Recursive Enhancement of Weak Subsurface Boundaries and Its Application to SHARAD Data

文献类型:期刊论文

作者Fang, Peng1,2; Zhang, Jinhai1
刊名REMOTE SENSING
出版日期2022-03-01
卷号14期号:6页码:16
关键词Mars shallow radar echo denoising weak reflection recursive subsurface boundaries enhancement
DOI10.3390/rs14061525
英文摘要Sedimentary layers are composed of alternately deposited compositions in different periods, reflecting the geological evolution history of a planet. Orbital radar can detect sedimentary layers, but the radargram is contaminated by varying background noise levels. Traditional denoising methods, such as median filter, have difficulty dealing with such kinds of noise. We propose a recursive signal enhancement scheme to identify weak reflections from intense background noise. Numerical experiments with synthetic data and SHARAD radargrams illustrate that the proposed method can enhance the clarity of the radar echoes and reveal delicate sedimentary structures previously buried in the background noise. The denoising result presents better horizontal continuity and higher vertical resolution compared with those of the traditional methods.
WOS关键词PENETRATING RADAR ONBOARD ; POLAR LAYERED DEPOSITS ; MARS ; IMAGES
资助项目National Nature Science Foundation of China[41941002] ; Key Research Program of the Chinese Academy of Sciences[ZDBS-SSW-TLC001] ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000774493800001
出版者MDPI
资助机构National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; National Nature Science Foundation of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences ; Foundation for Excellent Members of the Youth Innovation Promotion Association, Chinese Academy of Sciences
源URL[http://ir.iggcas.ac.cn/handle/132A11/105050]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Zhang, Jinhai
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714
Fang, Peng,Zhang, Jinhai. Recursive Enhancement of Weak Subsurface Boundaries and Its Application to SHARAD Data[J]. REMOTE SENSING,2022,14(6):16.
APA Fang, Peng,&Zhang, Jinhai.(2022).Recursive Enhancement of Weak Subsurface Boundaries and Its Application to SHARAD Data.REMOTE SENSING,14(6),16.
MLA Fang, Peng,et al."Recursive Enhancement of Weak Subsurface Boundaries and Its Application to SHARAD Data".REMOTE SENSING 14.6(2022):16.

入库方式: OAI收割

来源:地质与地球物理研究所

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