Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Henry C. Ogworonjo"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:1573-1586
Ground-penetrating radar (GPR) has been used in a number of applications including the detection of landmines and improvised explosive devices. Most existing algorithms for forward looking GPR image reconstruction require that a hyperparameter or reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f928d862018182bcd76bacae79427d23
https://doi.org/10.1109/tgrs.2016.2627500
https://doi.org/10.1109/tgrs.2016.2627500
Publikováno v:
UEMCON
The delay-and-sum (DAS) algorithm is widely used to reconstruct ground penetrating radar (GPR) images because of its simplicity and speed. However the drawback of the DAS algorithm is that it produces images with poor resolution and significant sidel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fea39ed2b960ab386e477d8541ed308c
https://doi.org/10.1109/uemcon.2017.8249033
https://doi.org/10.1109/uemcon.2017.8249033
Publikováno v:
2016 IEEE Radar Conference (RadarConf).
Impulse-based ground penetrating radar (GPR) has been proposed as a way to detect landmines and improvised explosive devices (IEDs). However, a drawback of such radar systems is the difficulty in transmitting a signal with an arbitrary bandwidth and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40500a85311bcc2ee16fe897f16276f0
https://doi.org/10.1109/radar.2016.7485297
https://doi.org/10.1109/radar.2016.7485297
Publikováno v:
GlobalSIP
In this paper, we propose a parameter-free image reconstruction algorithm that is based on the maximum a posteriori (MAP) estimation method and so called "integrate-out" approach for determining the prior distribution. The resulting objective functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a76d6d9a66bd26a31b5f62fcdf50be90
https://doi.org/10.1109/globalsip.2015.7418295
https://doi.org/10.1109/globalsip.2015.7418295
Publikováno v:
2014 IEEE Radar Conference.
In this paper, we use the maximum a posteriori (MAP) method to develop an algorithm that reconstructs subsurface images from GPR datasets. The prior probability density function we have chosen is novel and enforces sparsity. The negative of the objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6514b5b7e497002b8fbf8bc6d0b25b6
https://doi.org/10.1109/radar.2014.6875671
https://doi.org/10.1109/radar.2014.6875671
Publikováno v:
2016 IEEE Radar Conference (RadarConf); 2016, p1-5, 5p
Publikováno v:
IEEE Transactions on Geoscience & Remote Sensing; Mar2017, Vol. 55 Issue 3, p1573-1586, 14p
Publikováno v:
2015 IEEE Global Conference on Signal & Information Processing (GlobalSIP); 1/1/2015, p742-746, 5p
Publikováno v:
2014 IEEE Radar Conference; 2014, p0651-0655, 5p