Enhancing image formation from GPR data by a normalised geometric mean analysis

Autor:	Hugo Jenks, Steve R. Pennock
Rok vydání:	2017
Předmět:	Image formation Engineering Low contrast business.industry Ground-penetrating radar 0211 other engineering and technologies Geometry 02 engineering and technology Geometric mean Porosity business 021101 geological & geomatics engineering Remote sensing
Zdroj:	2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR).
Popis:	Image formation in Ground Penetrating Radar (GPR) has been used to provide data that is easier to interpret than hyperbolic traces in B-scans. A limitation of past work is a tendency to produce quite low contrast images. In this work a normalised geometric mean analysis is used that provides a higher contrast image. Its use on simple target scenarios is initially investigated. Then the more commonly encountered and testing cases of layered ground and of significantly inhomogeneous ground resulting from a finite porosity or void density are examined in this paper
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::aae4caf7ad82527c11d8027d9ce67d3a https://doi.org/10.1109/iwagpr.2017.7996061 Zobrazit plný text záznamu