Stochastic Simulation of Microseisms Using Theory of Conditional Random Fields

Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolatio...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Morikawa, H. [verfasserIn] Akamatsu, J. Nishimura, K. Onoue, K. Kameda, H.

Format:	Artikel
Sprache:	Englisch

Erschienen:	1998

Anmerkung:	© Birkhäuser Verlag Basel, 1998

Übergeordnetes Werk:	Enthalten in: Pure and applied geophysics - Birkhäuser Verlag, 1964, 151(1998), 1 vom: Jan., Seite 81-99
Übergeordnetes Werk:	volume:151 ; year:1998 ; number:1 ; month:01 ; pages:81-99

Links:	Volltext

DOI / URN:	10.1007/s000240050106

Katalog-ID:	OLC2069477029

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520			\|a Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space.
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allfields	10.1007/s000240050106 doi (DE-627)OLC2069477029 (DE-He213)s000240050106-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Morikawa, H. verfasserin aut Stochastic Simulation of Microseisms Using Theory of Conditional Random Fields 1998 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Birkhäuser Verlag Basel, 1998 Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space. Akamatsu, J. aut Nishimura, K. aut Onoue, K. aut Kameda, H. aut Enthalten in Pure and applied geophysics Birkhäuser Verlag, 1964 151(1998), 1 vom: Jan., Seite 81-99 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:151 year:1998 number:1 month:01 pages:81-99 https://doi.org/10.1007/s000240050106 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_31 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_285 GBV_ILN_601 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4277 GBV_ILN_4323 AR 151 1998 1 01 81-99
spelling	10.1007/s000240050106 doi (DE-627)OLC2069477029 (DE-He213)s000240050106-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Morikawa, H. verfasserin aut Stochastic Simulation of Microseisms Using Theory of Conditional Random Fields 1998 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Birkhäuser Verlag Basel, 1998 Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space. Akamatsu, J. aut Nishimura, K. aut Onoue, K. aut Kameda, H. aut Enthalten in Pure and applied geophysics Birkhäuser Verlag, 1964 151(1998), 1 vom: Jan., Seite 81-99 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:151 year:1998 number:1 month:01 pages:81-99 https://doi.org/10.1007/s000240050106 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_31 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_285 GBV_ILN_601 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4277 GBV_ILN_4323 AR 151 1998 1 01 81-99
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allfieldsGer	10.1007/s000240050106 doi (DE-627)OLC2069477029 (DE-He213)s000240050106-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Morikawa, H. verfasserin aut Stochastic Simulation of Microseisms Using Theory of Conditional Random Fields 1998 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Birkhäuser Verlag Basel, 1998 Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space. Akamatsu, J. aut Nishimura, K. aut Onoue, K. aut Kameda, H. aut Enthalten in Pure and applied geophysics Birkhäuser Verlag, 1964 151(1998), 1 vom: Jan., Seite 81-99 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:151 year:1998 number:1 month:01 pages:81-99 https://doi.org/10.1007/s000240050106 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_31 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_285 GBV_ILN_601 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4277 GBV_ILN_4323 AR 151 1998 1 01 81-99
allfieldsSound	10.1007/s000240050106 doi (DE-627)OLC2069477029 (DE-He213)s000240050106-p DE-627 ger DE-627 rakwb eng 550 VZ 550 VZ 16,13 ssgn Morikawa, H. verfasserin aut Stochastic Simulation of Microseisms Using Theory of Conditional Random Fields 1998 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Birkhäuser Verlag Basel, 1998 Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space. Akamatsu, J. aut Nishimura, K. aut Onoue, K. aut Kameda, H. aut Enthalten in Pure and applied geophysics Birkhäuser Verlag, 1964 151(1998), 1 vom: Jan., Seite 81-99 (DE-627)129538353 (DE-600)216719-0 (DE-576)014971038 0033-4553 nnns volume:151 year:1998 number:1 month:01 pages:81-99 https://doi.org/10.1007/s000240050106 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_30 GBV_ILN_31 GBV_ILN_40 GBV_ILN_70 GBV_ILN_267 GBV_ILN_285 GBV_ILN_601 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4277 GBV_ILN_4323 AR 151 1998 1 01 81-99
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title_sort	stochastic simulation of microseisms using theory of conditional random fields
title_auth	Stochastic Simulation of Microseisms Using Theory of Conditional Random Fields
abstract	Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space. © Birkhäuser Verlag Basel, 1998
abstractGer	Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space. © Birkhäuser Verlag Basel, 1998
abstract_unstemmed	Abstract. —We examine the applicability of conditional stochastic simulation to interpretation of microseisms observed on soft soil sediments at Kushiro, Hokkaido, Japan. The theory of conditional random fields developed by Kameda and Morikawa (1994) is used, which allows one to perform interpolation of a Gaussian stochastic time-space field that is conditioned by realized values of time functions specified at some discrete locations. The applicability is examined by a blind test, that is, by comparing a set of simulated seismograms and recorded ones obtained from three-point array observa tions. A test of fitness was performed by means of the sign test. It is concluded that the method is applicable to interpretation of microseisms, and that the wave field of microseisms can be treated as Gaussian random fields both in time and space. © Birkhäuser Verlag Basel, 1998
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title_short	Stochastic Simulation of Microseisms Using Theory of Conditional Random Fields
url	https://doi.org/10.1007/s000240050106
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author2	Akamatsu, J. Nishimura, K. Onoue, K. Kameda, H.
author2Str	Akamatsu, J. Nishimura, K. Onoue, K. Kameda, H.
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doi_str	10.1007/s000240050106
up_date	2024-07-03T22:19:33.147Z
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