DocumentCode
185780
Title
A new GPR image de-nosing method based on BEMD
Author
Lu Gan ; Long Zhou ; Xinge You
Author_Institution
Sch. of Electr. & Electron. Eng., Wuhan Polytech. Univ., Wuhan, China
fYear
2014
fDate
18-19 Oct. 2014
Firstpage
328
Lastpage
331
Abstract
This paper presents a new de-noising method for GPR image based on BEMD and wavelet. This method complies with the adaptability from BEMD. The method decomposes the image into a series of IMF components, then applies wavelet threshold de-noising on the selected high frequency IMF components for de-noising. In the reconstruction course, the de-noising IMF and low frequency IMF are combined. The experiment results shows the effectiveness of the method on GPR image.
Keywords
ground penetrating radar; image denoising; image segmentation; radar imaging; wavelet transforms; BEMD; GPR image; ground penetrating radar; image denosing; wavelet threshold denoising; BEMD; GPR; IMF; image de-noising;
fLanguage
English
Publisher
ieee
Conference_Titel
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4799-5352-3
Type
conf
DOI
10.1109/SPAC.2014.6982709
Filename
6982709
Link To Document