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
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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 |
DOI | 10.3390/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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