% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @ARTICLE{Bano:911248, author = {Bano, Maksim and Economou, Nikos and Bradford, John and Giannopoulos, Antonios and Klotzsche, Anja and Slob, Evert and Tsoflias, George}, title = {{GPR} data imaging and interpretation — {I}ntroduction}, journal = {Geophysics}, volume = {87}, number = {4}, issn = {0016-8033}, address = {Alexandria, Va.}, publisher = {GeoScienceWorld}, reportid = {FZJ-2022-04544}, pages = {WBi - WBii}, year = {2022}, abstract = {Ground-penetrating radar (GPR) is a well-established geophysical method that has found applications in a wide range of applied geophysics problems, from investigations at the earth’s polar regions to infrastructure sensing at the hearts of our modern metropolises. Notwithstanding many advances in GPR practice, GPR data continue to pose challenges to interpreters. Due to the continuous improvement in data acquisition technologies, the community reaps the benefits of fast, multifrequency, and multichannel recordings. At the same time, imaging and interpretation algorithms are called upon to handle a rapidly growing amount of data, which often require adaptive and efficient batch processing. For both...}, cin = {IBG-3}, ddc = {550}, cid = {I:(DE-Juel1)IBG-3-20101118}, pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)}, pid = {G:(DE-HGF)POF4-2173}, typ = {PUB:(DE-HGF)16}, UT = {WOS:000829029200001}, doi = {10.1190/geo2022-0512-spseintro.1}, url = {https://juser.fz-juelich.de/record/911248}, }