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
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;
Conference_Titel :
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4799-5352-3
DOI :
10.1109/SPAC.2014.6982709
