A new approach of rotated staggered grid FD method with unsplit convolutional PML for GPR
Hits:
Release time:2020-08-08 Impact Factor:2.913 DOI number:10.1109/JSTARS.2015.2503289 Affiliation of Author(s):School of Geosciences and Info-Physics, Central South University, Changsha 410083, China Teaching and Research Group:Applied Geophysics Journal:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Place of Publication:UNITED STATES Key Words:Frequency-dependent reflection error (FDRE)；ground penetrating radar (GPR)；perfectly matched layer (PML)；rotated staggered grid (RSG)；time-dependent reflection error (TDRE) Abstract:We introduce a novel implementation of a rotated staggered grid (RSG) finite difference (FD) method based on the unsplit convolutional perfectly matched layer (UCPML). The method is carried out using rotated staggered FD operators and a general complex frequency shifted stretching factor. It can offer a number of advantages over the RSG with split convolutional perfectly matched layer (SCPML), such as improving computational efficiency, overcoming the numerical dispersions resulting from the high-frequency propagation and strong contrasts in material, and specifically absorbing the evanescent modes at grazing incidence. A half-space numerical example with a lossy medium attached demonstrates that large-scale spurious reflections and evanescent modes at grazing incidence are absorbed efficiently by the UCPML in RSG scheme. Meanwhile, the comparison of the reflection error between the proposed algorithm and traditional approaches [using time-dependent reflection error (TDRE) and frequency-dependent reflection error (FDRE)] suggests that the proposed algorithm of RSG provides a preferable improvement in absorbing low-frequency coda wave of evanescent modes, particularly in the lossy medium that possesses inhomogeneous discontinuities. Co-author:戴前伟, 尹小波, 冯德山 First Author:张彬 Indexed by:Applied Research Document Code:DOI：10.1109/JSTARS.2015.2503289 Discipline:地质资源与地质工程 Document Type:J Volume:9 Issue:1 Page Number:52-59 ISSN No.:1939-1404 Translation or Not:no Date of Publication:2016-12-01 Included Journals:SCI -
|
 Zip Code:c576f0c85848a14d10428d1b79269fc7d68bde9ba6ecb95648b168a03671c3821c778c2bedf0cae5d03c95a065c3a5efa4243241acb9eb6089885db6f9f3fa7f5b7491eb5af48e7ab43d253e29e0fa6991b0af260ac98903cc7fbca150cb2fc86cb6bd41d95f78a263ba3d6f6aa504ee56cdd8693f2e6f13b576940cee3633de Fax:17e6c064ee5cb174c4e944a660b3f619e9f93b408e0b240bede9c3e19ecc6800e4984f519ecfa91ba7ae06ae3e4625e03227d05cc2002730892a846aa57724d5726b7e7fb08181480e647262115fb634c6f5545aacd74cff5c45368c07d0490d7716bdcb5446496de61a5a7d10de5694997f1bfa8ba6d200f4ccaeebd9c2fed0 Postal Address:71db3ba9b84fb74a51e15316e4d4d5158f917d9d8fb5faf012f84ab1172b26e0f5c378c5cecdf29537ce2e6e402924d646da474ef15c20b32a3bd5b6bc9c7bd827f454623be9d12b5256f6321a92104010a6def1c290e33f0d28cb4f37613a9225795c4442d6b34af06bd692cac4ab416f451ae02c3f9b5ffa4b7b654b4a5c82 Office Phone:17e6c064ee5cb174c4e944a660b3f619e9f93b408e0b240bede9c3e19ecc6800e4984f519ecfa91ba7ae06ae3e4625e03227d05cc2002730892a846aa57724d5726b7e7fb08181480e647262115fb634c6f5545aacd74cff5c45368c07d0490d7716bdcb5446496de61a5a7d10de5694997f1bfa8ba6d200f4ccaeebd9c2fed0 Mobile:5137d55315e3e35e4f835eb43d34a4aa36b1b453d3da1bb8194ee0525d17fd8ebb55be93064fddd451e8daaed692f6a07972105dcad24687d241e73e52fc23bfeaa9ae244a27b9bbbf3bc7746d1ebf576a528b5fd3ab2e715ccd88d1cee492655bae47acb16b70d23c481ee1f499873c9165a8278a451959797a05929c450c7c Email:b679856bb3c424c1b1f7ff32fc78c0465f82c20323019d2bcbaf0fd567213eff4f807ae6c53d852fff6b4557cf7dcfb6d93900b2fbb86f99bad419376cc49941a87bc49d00f086bfbf95d3a9f2040f260a5dea2e34b25479a54e2d46c07826eed4d04d17b119265ef06d58cb47f1322d0f7ab5847b2d282fa530dd5e5d029335
|
MOBILE Version