A new method for abnormal underground rocks identification using ground penetrating radar

Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Jin, Yang [verfasserIn] Duan, Yunling [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Ground penetrating radar Abnormal rocks identification Electromagnetic wave attenuation Disturbed reflected waves

Übergeordnetes Werk:	Enthalten in: Measurement - Amsterdam [u.a.] : Elsevier Science, 1983, 149
Übergeordnetes Werk:	volume:149

DOI / URN:	10.1016/j.measurement.2019.106988

Katalog-ID:	ELV002994356

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520			\|a Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency.
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650		4	\|a Disturbed reflected waves
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author_variant	y j yj y d yd
matchkey_str	jinyangduanyunling:2019----:nwehdoanraudrrudokietfctouig
hierarchy_sort_str	2019
bklnumber	50.21
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allfields	10.1016/j.measurement.2019.106988 doi (DE-627)ELV002994356 (ELSEVIER)S0263-2241(19)30854-1 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Jin, Yang verfasserin aut A new method for abnormal underground rocks identification using ground penetrating radar 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency. Ground penetrating radar Abnormal rocks identification Electromagnetic wave attenuation Disturbed reflected waves Duan, Yunling verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 149 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:149 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 149
spelling	10.1016/j.measurement.2019.106988 doi (DE-627)ELV002994356 (ELSEVIER)S0263-2241(19)30854-1 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Jin, Yang verfasserin aut A new method for abnormal underground rocks identification using ground penetrating radar 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency. Ground penetrating radar Abnormal rocks identification Electromagnetic wave attenuation Disturbed reflected waves Duan, Yunling verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 149 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:149 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 149
allfields_unstemmed	10.1016/j.measurement.2019.106988 doi (DE-627)ELV002994356 (ELSEVIER)S0263-2241(19)30854-1 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Jin, Yang verfasserin aut A new method for abnormal underground rocks identification using ground penetrating radar 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency. Ground penetrating radar Abnormal rocks identification Electromagnetic wave attenuation Disturbed reflected waves Duan, Yunling verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 149 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:149 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 149
allfieldsGer	10.1016/j.measurement.2019.106988 doi (DE-627)ELV002994356 (ELSEVIER)S0263-2241(19)30854-1 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Jin, Yang verfasserin aut A new method for abnormal underground rocks identification using ground penetrating radar 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency. Ground penetrating radar Abnormal rocks identification Electromagnetic wave attenuation Disturbed reflected waves Duan, Yunling verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 149 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:149 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 149
allfieldsSound	10.1016/j.measurement.2019.106988 doi (DE-627)ELV002994356 (ELSEVIER)S0263-2241(19)30854-1 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Jin, Yang verfasserin aut A new method for abnormal underground rocks identification using ground penetrating radar 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency. Ground penetrating radar Abnormal rocks identification Electromagnetic wave attenuation Disturbed reflected waves Duan, Yunling verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 149 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:149 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 149
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author	Jin, Yang
spellingShingle	Jin, Yang ddc 660 bkl 50.21 misc Ground penetrating radar misc Abnormal rocks identification misc Electromagnetic wave attenuation misc Disturbed reflected waves A new method for abnormal underground rocks identification using ground penetrating radar
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topic_title	660 DE-600 50.21 bkl A new method for abnormal underground rocks identification using ground penetrating radar Ground penetrating radar Abnormal rocks identification Electromagnetic wave attenuation Disturbed reflected waves
topic	ddc 660 bkl 50.21 misc Ground penetrating radar misc Abnormal rocks identification misc Electromagnetic wave attenuation misc Disturbed reflected waves
topic_unstemmed	ddc 660 bkl 50.21 misc Ground penetrating radar misc Abnormal rocks identification misc Electromagnetic wave attenuation misc Disturbed reflected waves
topic_browse	ddc 660 bkl 50.21 misc Ground penetrating radar misc Abnormal rocks identification misc Electromagnetic wave attenuation misc Disturbed reflected waves
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title	A new method for abnormal underground rocks identification using ground penetrating radar
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title_full	A new method for abnormal underground rocks identification using ground penetrating radar
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title_sort	a new method for abnormal underground rocks identification using ground penetrating radar
title_auth	A new method for abnormal underground rocks identification using ground penetrating radar
abstract	Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency.
abstractGer	Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency.
abstract_unstemmed	Surrounding rock quality of underground caverns, which determines the safety and stability, is of great importance in geological engineering. Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. The real-time algorithm has capacity to discover abnormal places during the survey instead of afterwards, which can improve the engineer efficiency.
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title_short	A new method for abnormal underground rocks identification using ground penetrating radar
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author2	Duan, Yunling
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doi_str	10.1016/j.measurement.2019.106988
up_date	2024-07-06T18:08:32.871Z
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Ground penetrating radar (GPR) has potential to accurately image the subterranean profile. Against two major issues that affect GPR detection, a new method to process GPR data for abnormal underground rocks identification was investigated. An improved amplitude gain function and an elimination method were proposed, which can amplify weak signals and separate true signals from superimposed waveforms, and it was further developed into real-time algorithm. In field measurements, after processing the GPR data of two pre-buried pipelines, the imaging profile can accurately present their locations. Surrounding rock quality of a subterranean cavern was detected by GPR, and the elimination results can clearly show the multi-joint areas. 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A new method for abnormal underground rocks identification using ground penetrating radar

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