Sparsity-Promoted Blind Deconvolution of Ground-Penetrating Radar (GPR)   Data

doi:10.1109/LGRS.2013.2292955

CORC > 北京大学 > 信息科学技术学院

	Sparsity-Promoted Blind Deconvolution of Ground-Penetrating Radar (GPR) Data
	Li, Lianlin
刊名	ieee geoscience and remote sensing letters
	2014
关键词	Blind deconvolution ground-penetrating radar (GPR) imaging higher order statistics minimum entropy deconvolution (MED) sparse signal processing MINIMUM ENTROPY DECONVOLUTION KURTOSIS MAXIMIZATION
DOI	10.1109/LGRS.2013.2292955
英文摘要	Over the past decades, numerous efforts have been attempted to enhance the temporal resolution and accuracy of subsurface ground-penetrating radar (GPR) data by means of blind deconvolution techniques. The fact that most of the source wavelets that are utilized in practical GPR exploration are non-minimum phase presents some challenges for the blind deconvolution of GPR data. This letter extends the classical minimum entropy deconvolution strategy and forms a general-purpose framework of the blind deconvolution of GPR data, which formulates the blind deconvolution of GPR data as a sparsity-promoted optimization problem with a scale-invariant regularizer. Another contribution of this letter is that an alternating iterative method is explored to solve the derived nonconvex optimization problem, where the constraint of max(t) vertical bar r(t)vertical bar = 1 is introduced to avoid trapping into some local minimums. Selected examples are presented to demonstrate the accuracy and robustness of the proposed methodology. Primary results show that by applying such approach to the GPR data, we obtain images with significantly enhanced temporal resolution compared with the results of existing blind deconvolution schemes.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000333095200004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Geochemistry & Geophysics; Engineering, Electrical & Electronic; Remote Sensing; Imaging Science & Photographic Technology; SCI(E); EI; 5; ARTICLE; lianlin.li@pku.edu.cn; 8; 1330-1334; 11
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/152058]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Lianlin. Sparsity-Promoted Blind Deconvolution of Ground-Penetrating Radar (GPR) Data[J]. ieee geoscience and remote sensing letters,2014.
APA	Li, Lianlin.(2014).Sparsity-Promoted Blind Deconvolution of Ground-Penetrating Radar (GPR) Data.ieee geoscience and remote sensing letters.
MLA	Li, Lianlin."Sparsity-Promoted Blind Deconvolution of Ground-Penetrating Radar (GPR) Data".ieee geoscience and remote sensing letters (2014).