Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4787007
S. Guimbard, N. Reul, J. Tenerelli, B. Chapron
We present recent results from several studies and field experiments that were conducted to improve the retrieval of sea surface salinity from space, preparing for the soil moisture and ocean salinity (SMOS) mission. The sea surface roughness impact on L-band emissivity is analysed based on the data from the CoSMOS airborne campaign conducted in April 2006 in the Norway sea. Comparisons with electromagnetic scattering models used in SMOS algorithm indicate likely overestimation in the sea surface spectrum model energies at decimetric surface wave scales.
{"title":"Impact of surface roughness on L-band emissivity of the ocean -Theoretical and empirical analysis-","authors":"S. Guimbard, N. Reul, J. Tenerelli, B. Chapron","doi":"10.1109/PASSIVE.2008.4787007","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4787007","url":null,"abstract":"We present recent results from several studies and field experiments that were conducted to improve the retrieval of sea surface salinity from space, preparing for the soil moisture and ocean salinity (SMOS) mission. The sea surface roughness impact on L-band emissivity is analysed based on the data from the CoSMOS airborne campaign conducted in April 2006 in the Norway sea. Comparisons with electromagnetic scattering models used in SMOS algorithm indicate likely overestimation in the sea surface spectrum model energies at decimetric surface wave scales.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124871680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786997
D. Tan, M. Lesturgie, Hongbo Sun, Wei Li, Yilong Lu
Through-the-wall detections have many vital applications, including the potential to conduct surveillance through walls and the ability to detect the presence of living people behind doors or other barriers. These covert surveillances and personnel detections are of high interest in urban warfare applications. This research work assesses the feasibility of using global system for mobile communications (GSM) signal as the transmission of opportunity in the through-the-wall motion detection passive radar and subsequently developing and implementing a fully functional GSM based through-the-wall passive radar demonstrator for motion sensing. Experimental trials to validate the feasibility of motion detection through the wall were conducted using GSM transmissions from an operational GSM base station transmitter. The Doppler frequency of a cooperative human inside an enclosed room corresponding to him walking to and from the brick wall can be prominently detected and tracked. These encouraging results path the way for more thorough and in-depth research into this novel ground breaking through-the-wall passive surveillance radar technology.
{"title":"GSM based through-the-wall passive radar demonstrator for motion sensing","authors":"D. Tan, M. Lesturgie, Hongbo Sun, Wei Li, Yilong Lu","doi":"10.1109/PASSIVE.2008.4786997","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786997","url":null,"abstract":"Through-the-wall detections have many vital applications, including the potential to conduct surveillance through walls and the ability to detect the presence of living people behind doors or other barriers. These covert surveillances and personnel detections are of high interest in urban warfare applications. This research work assesses the feasibility of using global system for mobile communications (GSM) signal as the transmission of opportunity in the through-the-wall motion detection passive radar and subsequently developing and implementing a fully functional GSM based through-the-wall passive radar demonstrator for motion sensing. Experimental trials to validate the feasibility of motion detection through the wall were conducted using GSM transmissions from an operational GSM base station transmitter. The Doppler frequency of a cooperative human inside an enclosed room corresponding to him walking to and from the brick wall can be prominently detected and tracked. These encouraging results path the way for more thorough and in-depth research into this novel ground breaking through-the-wall passive surveillance radar technology.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131613707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786985
D. Mathias, A. Thode, S. B. Blackwell, C. Greene
Since 2001 Directional Autonomous Seafloor Acoustic Recorders (DASARs) have been used to localize and record bowhead whale (Balaena mysticetus) calls during their annual migration. In 2007 DASARs were deployed at 35 locations over a 280 km swath in the Beaufort Sea, during seismic exploration activities (Fig. 1), in order to monitor potential changes in the animals' location and/or acoustic activity during the seismic activities. The large amount of acoustic data generated (about 50 days per DASAR) motivated the development of computer-aided methods to assist in detecting and classifying bowhead whale calls. Bowhead whale calls can be classified in various ways. Here, we divide calls into six categories: (1) upsweeps, (2) downsweeps, (3) constant calls, (4) u-shaped and (5) n-shaped undulated calls, and (6) complex calls, a catch-all category that covers both frequency-modulated calls with multiple inflections, and amplitude-modulated calls such as warbles, growls, and other such sounds. In addition, walrus and bearded seal calls can produce similar call features in a spectrogram, yielding a total of eight classification categories. The frequency range, duration, and fine structure of individual calls vary considerably even within each category, creating difficulties when using simple matched- filtering or spectrogram correlation methods. A manually reviewed test dataset was assembled, containing examples from each call category, arranged by signal-to-noise ratio (SNR) in 5 dB bins, ranging from 5 to 40 dB. The dataset was then used to test several methods for extracting relevant parameters from the signal for subsequent classification. Contour tracing methods that estimate frequency bandwidth, inflection points, and duration were examined, as well as other boundary descriptors that utilize standard image segmentation techniques. An optimization procedure was then used to determine appropriate decision boundaries for optimum statistical classifiers.
{"title":"Computer-aided classification of bowhead whale call categories for mitigation monitoring","authors":"D. Mathias, A. Thode, S. B. Blackwell, C. Greene","doi":"10.1109/PASSIVE.2008.4786985","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786985","url":null,"abstract":"Since 2001 Directional Autonomous Seafloor Acoustic Recorders (DASARs) have been used to localize and record bowhead whale (Balaena mysticetus) calls during their annual migration. In 2007 DASARs were deployed at 35 locations over a 280 km swath in the Beaufort Sea, during seismic exploration activities (Fig. 1), in order to monitor potential changes in the animals' location and/or acoustic activity during the seismic activities. The large amount of acoustic data generated (about 50 days per DASAR) motivated the development of computer-aided methods to assist in detecting and classifying bowhead whale calls. Bowhead whale calls can be classified in various ways. Here, we divide calls into six categories: (1) upsweeps, (2) downsweeps, (3) constant calls, (4) u-shaped and (5) n-shaped undulated calls, and (6) complex calls, a catch-all category that covers both frequency-modulated calls with multiple inflections, and amplitude-modulated calls such as warbles, growls, and other such sounds. In addition, walrus and bearded seal calls can produce similar call features in a spectrogram, yielding a total of eight classification categories. The frequency range, duration, and fine structure of individual calls vary considerably even within each category, creating difficulties when using simple matched- filtering or spectrogram correlation methods. A manually reviewed test dataset was assembled, containing examples from each call category, arranged by signal-to-noise ratio (SNR) in 5 dB bins, ranging from 5 to 40 dB. The dataset was then used to test several methods for extracting relevant parameters from the signal for subsequent classification. Contour tracing methods that estimate frequency bandwidth, inflection points, and duration were examined, as well as other boundary descriptors that utilize standard image segmentation techniques. An optimization procedure was then used to determine appropriate decision boundaries for optimum statistical classifiers.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125651139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786975
E. Nosal
Flood-fill algorithms are used in the ldquobucketrdquo tool of paint programs to fill connected parts of a bitmap with color. They establish the area connected to a given node in a multi-dimensional array. This paper outlines the implementation a recursive flood-fill algorithm. Two elements are defined as connected if a path exists between them along which the value of all elements exceeds some threshold for a given node and threshold. The flood-fill is performed recursively on all elements connected to the node of interest. Two applications for passive acoustic monitoring are explored: (1) Signal detection via two-dimensional (frequency and time) flood-fill applied to spectrograms; (2) Source tracking via four-dimensional (x, y, z, and time) flood-fill applied to source position likelihood volumes (obtained using a localization algorithm that gives the likelihood of a source occupying a point in time and space).
{"title":"Flood-fill algorithms used for passive acoustic detection and tracking","authors":"E. Nosal","doi":"10.1109/PASSIVE.2008.4786975","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786975","url":null,"abstract":"Flood-fill algorithms are used in the ldquobucketrdquo tool of paint programs to fill connected parts of a bitmap with color. They establish the area connected to a given node in a multi-dimensional array. This paper outlines the implementation a recursive flood-fill algorithm. Two elements are defined as connected if a path exists between them along which the value of all elements exceeds some threshold for a given node and threshold. The flood-fill is performed recursively on all elements connected to the node of interest. Two applications for passive acoustic monitoring are explored: (1) Signal detection via two-dimensional (frequency and time) flood-fill applied to spectrograms; (2) Source tracking via four-dimensional (x, y, z, and time) flood-fill applied to source position likelihood volumes (obtained using a localization algorithm that gives the likelihood of a source occupying a point in time and space).","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116316587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4787001
J. Thomas, C. Baker, H. Griffiths
Passive radar is briefly discussed before the concept of HF passive bistatic radar is introduced using a sky-wave illumination path and surface-wave reception path. The HF passive radar under construction at UCL is described briefly. The signal processing required to reveal targets is presented followed by a comparison of analogue and digital illuminators of opportunity and their potential to detect targets. Finally the signal to interference ratio for the HF specific case is presented and conclusions are drawn on the need for interference cancellation.
{"title":"HF passive bistatic radar potential and applications for remote sensing","authors":"J. Thomas, C. Baker, H. Griffiths","doi":"10.1109/PASSIVE.2008.4787001","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4787001","url":null,"abstract":"Passive radar is briefly discussed before the concept of HF passive bistatic radar is introduced using a sky-wave illumination path and surface-wave reception path. The HF passive radar under construction at UCL is described briefly. The signal processing required to reveal targets is presented followed by a comparison of analogue and digital illuminators of opportunity and their potential to detect targets. Finally the signal to interference ratio for the HF specific case is presented and conclusions are drawn on the need for interference cancellation.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121104320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786990
B. Picard, E. Obligis, Marie-Laure Denneulin
This paper shows the first results of a more complete study on the comparison of interpolation methods applied to conically scanning and across-track scanning radiometers. The goal here is to present the performances of two interpolation algorithms for the interpolation of the raw measurements (samples) onto non-overlapping pixels, regularly localized along a scan of an across-track radiometer. The originality of the approach is the use of an end-to-end simulator including: (1) high resolution 2D realistic brightness temperature (TB) scenes computed from geophysical fields thanks to a radiative transfer model when previous studies have used synthetic ID profiles, (2) 2D convolution of the scene by Gaussian or measured antenna patterns at any pointing angle (defined by azimuth and elevation) when previous studies have used ID convolution of synthetic antenna patterns pointing at nadir, (3) notion of temporal integration when computing the raw radiometric measurements when previous studies have used instantaneous fields of view (IFOV) Both synthetic and high resolution realistic scenes, including or not radiometric noise, are used as referenced fields to assess the performances of these algorithms in term of radiometric accuracy and radiometric sensitivity. The simulation of the measurements is based on the convolution of the scene by the antenna patterns and takes into account the notion of Effective Field Of View (EFOV). The two interpolation processes are: (1) a purely geometric process based on the surface intersection between measurements (samples) and pixels -3dB beams projected on Earth. (2) the well-known Backus-Gilbert algorithm. The two methods show the same performance in term of radiometric accuracy when the Backus-Gilbert allows a better reduction of the radiometric noise.
{"title":"A comparison of interpolation processes: Applications to across-track scanning radiometers","authors":"B. Picard, E. Obligis, Marie-Laure Denneulin","doi":"10.1109/PASSIVE.2008.4786990","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786990","url":null,"abstract":"This paper shows the first results of a more complete study on the comparison of interpolation methods applied to conically scanning and across-track scanning radiometers. The goal here is to present the performances of two interpolation algorithms for the interpolation of the raw measurements (samples) onto non-overlapping pixels, regularly localized along a scan of an across-track radiometer. The originality of the approach is the use of an end-to-end simulator including: (1) high resolution 2D realistic brightness temperature (TB) scenes computed from geophysical fields thanks to a radiative transfer model when previous studies have used synthetic ID profiles, (2) 2D convolution of the scene by Gaussian or measured antenna patterns at any pointing angle (defined by azimuth and elevation) when previous studies have used ID convolution of synthetic antenna patterns pointing at nadir, (3) notion of temporal integration when computing the raw radiometric measurements when previous studies have used instantaneous fields of view (IFOV) Both synthetic and high resolution realistic scenes, including or not radiometric noise, are used as referenced fields to assess the performances of these algorithms in term of radiometric accuracy and radiometric sensitivity. The simulation of the measurements is based on the convolution of the scene by the antenna patterns and takes into account the notion of Effective Field Of View (EFOV). The two interpolation processes are: (1) a purely geometric process based on the surface intersection between measurements (samples) and pixels -3dB beams projected on Earth. (2) the well-known Backus-Gilbert algorithm. The two methods show the same performance in term of radiometric accuracy when the Backus-Gilbert allows a better reduction of the radiometric noise.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786987
V. Kandia, Y. Stylianou, T. Dutoit
In this paper we present a method to improve the accuracy of the time difference of arrivals (TDOA) estimators for reducing the uncertainty in localizing sperm whales using passive acoustics. More precisely we suggest the use of Teager-Kaiser energy operator for the enhancement of recordings made by hydrophones before applying an estimator of TDOA. Using data from the Atlantic undersea test and evaluation center (AUTEC) and standard estimators for TDOA like the generalized cross correlation (GCC) approaches or statistical methods based on LMS, we show that the suggested pre-processing method significantly improves the accuracy of these estimators. Simulating various signal to noise ratio (SNR) conditions, we are able to show the robustness of the pre-processing approach against additive noise.
{"title":"Improve the accuracy of TDOA measurement using the Teager-Kaiser energy operator","authors":"V. Kandia, Y. Stylianou, T. Dutoit","doi":"10.1109/PASSIVE.2008.4786987","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786987","url":null,"abstract":"In this paper we present a method to improve the accuracy of the time difference of arrivals (TDOA) estimators for reducing the uncertainty in localizing sperm whales using passive acoustics. More precisely we suggest the use of Teager-Kaiser energy operator for the enhancement of recordings made by hydrophones before applying an estimator of TDOA. Using data from the Atlantic undersea test and evaluation center (AUTEC) and standard estimators for TDOA like the generalized cross correlation (GCC) approaches or statistical methods based on LMS, we show that the suggested pre-processing method significantly improves the accuracy of these estimators. Simulating various signal to noise ratio (SNR) conditions, we are able to show the robustness of the pre-processing approach against additive noise.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122369610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786977
F. Lelandais, H. Glotin
This article presents how the wavelet matching pursuit (MP) algorithm can perform in real-time, ocean noise elimination and whale clicks detection and segregation. This work is based on two recent advances: the first [Adam 05]proposes to analyze sperm whale signals with Daubechies 15 wavelets. The second is the fast implementation of the MP by INRIA Rennes team [MPTK 06]. We first show that one can interface DB15 with this toolkit. Second, we demonstrate, for the first time, a real use of DB15 on two long whale records reference datasets containing one or several sperm whales to address the click labeling issue. Experiments are conducted on AUTEC Bahamas data, whales are from 5 to 10 km far from the bottom mounted hydrophone. We show that DB15 are efficient for real time click detection, ocean noise and echoes removal. We get 85% of click detection for less than 20% of false alarm. We finally apply our approach to 3 co-clicking whales, and we show promising results of automatic fast segregation and click labeling of simultaneous emitting whales.
{"title":"Mallat's Matching Pursuit of sperm whale clicks in real-time using Daubechies 15 wavelets","authors":"F. Lelandais, H. Glotin","doi":"10.1109/PASSIVE.2008.4786977","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786977","url":null,"abstract":"This article presents how the wavelet matching pursuit (MP) algorithm can perform in real-time, ocean noise elimination and whale clicks detection and segregation. This work is based on two recent advances: the first [Adam 05]proposes to analyze sperm whale signals with Daubechies 15 wavelets. The second is the fast implementation of the MP by INRIA Rennes team [MPTK 06]. We first show that one can interface DB15 with this toolkit. Second, we demonstrate, for the first time, a real use of DB15 on two long whale records reference datasets containing one or several sperm whales to address the click labeling issue. Experiments are conducted on AUTEC Bahamas data, whales are from 5 to 10 km far from the bottom mounted hydrophone. We show that DB15 are efficient for real time click detection, ocean noise and echoes removal. We get 85% of click detection for less than 20% of false alarm. We finally apply our approach to 3 co-clicking whales, and we show promising results of automatic fast segregation and click labeling of simultaneous emitting whales.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128158919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786999
O. Gérard, C. Carthel, S. Coraluppi
In previous work we have used a multi-hypothesis tracking (MHT) algorithm to estimate the number of whales vocalizing at the same time. This paper introduces modifications that exploit the frequency content of clicks, thus allowing promising tracking and classification of both regular clicks and buzzes. Our method is validated with a dataset of Blainville's beaked whales where the number of animals is known. The results are satisfactory.
{"title":"Estimating the number of beaked whales using an MHT tracker","authors":"O. Gérard, C. Carthel, S. Coraluppi","doi":"10.1109/PASSIVE.2008.4786999","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786999","url":null,"abstract":"In previous work we have used a multi-hypothesis tracking (MHT) algorithm to estimate the number of whales vocalizing at the same time. This paper introduces modifications that exploit the frequency content of clicks, thus allowing promising tracking and classification of both regular clicks and buzzes. Our method is validated with a dataset of Blainville's beaked whales where the number of animals is known. The results are satisfactory.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133318545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-10-01DOI: 10.1109/PASSIVE.2008.4786998
A. Deschamps, Y. Hello, P. Charvis, T. Frontera, C. Gojak
In the frame of a collaboration with ANTARES project, a broad band seismological sensor was installed on sea floor at 2500 m and connected to a data center for real time analysis. As expected, the long period seismic noise recorded is quite large, but the presence of a large set of others observations as temperature, pressure and current velocity provide some help to interpret the observed variation in time. The main improvement on the noise level was obtained in burring completely the sensor. The observations are still not at the level of the land observations with similar sensor, but the experience provided us some guides for the development of rules for the development of seismic sea floor permanent observation to complement land observatories in case of offshore seismicity.
{"title":"A real time seismological station at 2500 m depth in front Toulon","authors":"A. Deschamps, Y. Hello, P. Charvis, T. Frontera, C. Gojak","doi":"10.1109/PASSIVE.2008.4786998","DOIUrl":"https://doi.org/10.1109/PASSIVE.2008.4786998","url":null,"abstract":"In the frame of a collaboration with ANTARES project, a broad band seismological sensor was installed on sea floor at 2500 m and connected to a data center for real time analysis. As expected, the long period seismic noise recorded is quite large, but the presence of a large set of others observations as temperature, pressure and current velocity provide some help to interpret the observed variation in time. The main improvement on the noise level was obtained in burring completely the sensor. The observations are still not at the level of the land observations with similar sensor, but the experience provided us some guides for the development of rules for the development of seismic sea floor permanent observation to complement land observatories in case of offshore seismicity.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130959104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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