Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5654011
F. Lombardini, M. Pardini
SAR Tomography (Tomo-SAR) is an experimental advanced coherent data combination mode allowing full 3-D imaging of volumetric and layover scatterers from a multibaseline (MB) synthetic aperture radar (SAR) data stack. However, the linear Fourier-based Tomo-SAR is generally affected by unsatisfactory imaging quality due to a typically low number of baselines with irregular spatial distribution. Recently, to improve the elevation focusing technique, a sector interpolation approach has been proposed by the authors, in which a set of uniform baseline data is recovered from the available non-uniform one by exploiting the a priori information about the extension of a height sector which contains the scatterers. In this work, first experiments are presented of sector interpolated Tomo-SAR carried out with real spaceborne MB SAR data acquired over the Cinecittà area of the city of Rome.
{"title":"First experiments of sector interpolated SAR tomography","authors":"F. Lombardini, M. Pardini","doi":"10.1109/IGARSS.2010.5654011","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5654011","url":null,"abstract":"SAR Tomography (Tomo-SAR) is an experimental advanced coherent data combination mode allowing full 3-D imaging of volumetric and layover scatterers from a multibaseline (MB) synthetic aperture radar (SAR) data stack. However, the linear Fourier-based Tomo-SAR is generally affected by unsatisfactory imaging quality due to a typically low number of baselines with irregular spatial distribution. Recently, to improve the elevation focusing technique, a sector interpolation approach has been proposed by the authors, in which a set of uniform baseline data is recovered from the available non-uniform one by exploiting the a priori information about the extension of a height sector which contains the scatterers. In this work, first experiments are presented of sector interpolated Tomo-SAR carried out with real spaceborne MB SAR data acquired over the Cinecittà area of the city of Rome.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"2 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114035954","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5650601
R. Fjørtoft, J. Gaudin, Nadine Pourthié, C. Lion, A. Mallet, J. Souyris, C. Ruiz, F. Koudogbo, J. Duro, P. Ordoqui, A. Arnaud
The principal instrument of the SWOT (Surface Water and Ocean Topography) altimetry mission is KaRIn, a Ka-band interferometric SAR system operating on near-nadir swaths on both sides of the satellite track. This article briefly describes the measurement principle, the processing steps and the specificities of the interferometric SAR data of KaRIn as compared to conventional spaceborne SAR systems.
{"title":"KaRIn - the Ka-band radar interferometer on SWOT: Measurement principle, processing and data specificities","authors":"R. Fjørtoft, J. Gaudin, Nadine Pourthié, C. Lion, A. Mallet, J. Souyris, C. Ruiz, F. Koudogbo, J. Duro, P. Ordoqui, A. Arnaud","doi":"10.1109/IGARSS.2010.5650601","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650601","url":null,"abstract":"The principal instrument of the SWOT (Surface Water and Ocean Topography) altimetry mission is KaRIn, a Ka-band interferometric SAR system operating on near-nadir swaths on both sides of the satellite track. This article briefly describes the measurement principle, the processing steps and the specificities of the interferometric SAR data of KaRIn as compared to conventional spaceborne SAR systems.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114297365","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5654112
Songxin Tan, Ali Haider
As an important active remote sensing tool in forest remote sensing, lidar is able to provide information on tree height, canopy structure, aboveground biomass, among other parameters. It has become desirable to be able to classify tree species using lidar data during recent years. Research has been performed using commercial non-polarimetric lidar in tree species classification, at either dominant species level or individual tree level. The objective of this research is to classify deciduous and coniferous trees using the newly developed polarimetric lidar system. Lidar data from five different tree species were collected in the field. These included ponderosa pine, Austrian pine, blue spruce, green ash and maple. Data were preprocessed and artificial neural network method was developed for classification. Data analysis demonstrated that the classification performance using polarimetric lidar data was far better than that using the non-polarimetric lidar data.
{"title":"A comparative study of polarimetric and non-polarimetric lidar in deciduous-coniferous tree classification","authors":"Songxin Tan, Ali Haider","doi":"10.1109/IGARSS.2010.5654112","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5654112","url":null,"abstract":"As an important active remote sensing tool in forest remote sensing, lidar is able to provide information on tree height, canopy structure, aboveground biomass, among other parameters. It has become desirable to be able to classify tree species using lidar data during recent years. Research has been performed using commercial non-polarimetric lidar in tree species classification, at either dominant species level or individual tree level. The objective of this research is to classify deciduous and coniferous trees using the newly developed polarimetric lidar system. Lidar data from five different tree species were collected in the field. These included ponderosa pine, Austrian pine, blue spruce, green ash and maple. Data were preprocessed and artificial neural network method was developed for classification. Data analysis demonstrated that the classification performance using polarimetric lidar data was far better than that using the non-polarimetric lidar data.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114398363","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5649395
J. Praks, M. Hallikainen, É. Koeniguer
In this study we give short overview of polarimetric SAR image visualization with colors. By studying the color models and polarization visualization models we propose basic principles which should be followed when presenting polarimetric information in color. We show that for different polarimetric parameters, different color models should be used, and give guidelines for color model selection. We present also two visualization schemes which are suitable for interpretation and browsing of large polarimetric SAR images.
{"title":"Polarimetric sar image visualization and interpretation with covariance matrix invariants","authors":"J. Praks, M. Hallikainen, É. Koeniguer","doi":"10.1109/IGARSS.2010.5649395","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649395","url":null,"abstract":"In this study we give short overview of polarimetric SAR image visualization with colors. By studying the color models and polarization visualization models we propose basic principles which should be followed when presenting polarimetric information in color. We show that for different polarimetric parameters, different color models should be used, and give guidelines for color model selection. We present also two visualization schemes which are suitable for interpretation and browsing of large polarimetric SAR images.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114435633","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5651647
Z. Liu, D. Dong, P. Lundgren
Continuous monitoring Long Valley Caldera since the late 1970s, including data from seismic and geodetic networks has shown renewed episodic unrest activities with accelerated uplift separated by reduced uplift, no activity or slow deflation. We examine the time-dependent behaviors at Long Valley Caldera in 1996–2009 by integrating InSAR and continuous GPS (CGPS) measurements. The ERS-1/2 radar data between 1992 and 2008 and reprocessed three-component continuous GPS (CGPS) data from Long Valley GPS network in 1996–2009 were combined to invert for source geometry and volume change in the following deformation episodes: 97–98 uplift, 02–03 uplift, 04–07 slow subsidence, and 07–09 slow uplift. Our results show that all post-2000 events locate in the shallow depth range of ∼7–9 km and have nearly identical source location, suggesting that these events are caused by the same partial melt magma source at the mid-crustal level. All three events are characterized by the low volume change, in comparison with previous 1997–1998 inflation event that has much larger volume change and steeper source geometry. If we regard post-2000 events as proxy for future eruption hazard, the inferred source dynamics (e.g., mid-crustal location and low volume change) from these post-2000 events suggest that the probability for near-term eruption is low. Our study demonstrates that CGPS, along with InSAR, are important tools in monitoring time-dependent source process at the active volcano region.
{"title":"Monitoring time-dependent volcanic dynamics at Long Valley Caldera using InSAR and GPS measurements","authors":"Z. Liu, D. Dong, P. Lundgren","doi":"10.1109/IGARSS.2010.5651647","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651647","url":null,"abstract":"Continuous monitoring Long Valley Caldera since the late 1970s, including data from seismic and geodetic networks has shown renewed episodic unrest activities with accelerated uplift separated by reduced uplift, no activity or slow deflation. We examine the time-dependent behaviors at Long Valley Caldera in 1996–2009 by integrating InSAR and continuous GPS (CGPS) measurements. The ERS-1/2 radar data between 1992 and 2008 and reprocessed three-component continuous GPS (CGPS) data from Long Valley GPS network in 1996–2009 were combined to invert for source geometry and volume change in the following deformation episodes: 97–98 uplift, 02–03 uplift, 04–07 slow subsidence, and 07–09 slow uplift. Our results show that all post-2000 events locate in the shallow depth range of ∼7–9 km and have nearly identical source location, suggesting that these events are caused by the same partial melt magma source at the mid-crustal level. All three events are characterized by the low volume change, in comparison with previous 1997–1998 inflation event that has much larger volume change and steeper source geometry. If we regard post-2000 events as proxy for future eruption hazard, the inferred source dynamics (e.g., mid-crustal location and low volume change) from these post-2000 events suggest that the probability for near-term eruption is low. Our study demonstrates that CGPS, along with InSAR, are important tools in monitoring time-dependent source process at the active volcano region.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114581165","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5651342
Kai Wang, Qiang Liu, Qinhuo Liu
In this paper, we proposed a localized land surface temperature retrieval method using water vapor and in situ data, and applied it in Yingke area. With the ground measurement of emissivity and water vapor simulated, we recovered LST from MODIS/Terra Level-1b data. ASTER temperature product was used to compare with the MODIS retrieval result. The comparison showed the MODIS retrieval result agreed with ASTER data with an average difference of 1.64K.
{"title":"Localized land surface temperature retrieval from the MODIS Level-1b data using water vapor and in situ data","authors":"Kai Wang, Qiang Liu, Qinhuo Liu","doi":"10.1109/IGARSS.2010.5651342","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651342","url":null,"abstract":"In this paper, we proposed a localized land surface temperature retrieval method using water vapor and in situ data, and applied it in Yingke area. With the ground measurement of emissivity and water vapor simulated, we recovered LST from MODIS/Terra Level-1b data. ASTER temperature product was used to compare with the MODIS retrieval result. The comparison showed the MODIS retrieval result agreed with ASTER data with an average difference of 1.64K.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122033310","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5652699
Wen-tao Liu, Jingwen Li, Wei Yang
Terahertz(THz)radiation, which occupies a relatively unexplored portion of the electromagnetic spectrum between mid-infrared and microwave bands, offers innovative sensing and imaging technologies that can provide information unavailable through conventional methods such as microwave and X-ray techniques. Spectroscopy in the terahertz frequency range has demonstrated unique identification of both pure and military-grade explosives. Explosive and illicit drug materials have characteristic THz spectra, a fuzzy neural network for classifying explosives and illicit drugs based on different THz spectra was designed. The designed Classifier can make hard decision and soft decision for identifying 9 patterns of explosives and illicit drugs at the accuracy of 89%, The highly successful result of the experiments, coupled with availability of practical THz systems which operate outside the laboratory environment, indicate that THz technologies are promising for the identification of explosives and illicit drugs.
{"title":"Detection and identification of explosives and illicit drugs by terahertz spectroscopy technology","authors":"Wen-tao Liu, Jingwen Li, Wei Yang","doi":"10.1109/IGARSS.2010.5652699","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652699","url":null,"abstract":"Terahertz(THz)radiation, which occupies a relatively unexplored portion of the electromagnetic spectrum between mid-infrared and microwave bands, offers innovative sensing and imaging technologies that can provide information unavailable through conventional methods such as microwave and X-ray techniques. Spectroscopy in the terahertz frequency range has demonstrated unique identification of both pure and military-grade explosives. Explosive and illicit drug materials have characteristic THz spectra, a fuzzy neural network for classifying explosives and illicit drugs based on different THz spectra was designed. The designed Classifier can make hard decision and soft decision for identifying 9 patterns of explosives and illicit drugs at the accuracy of 89%, The highly successful result of the experiments, coupled with availability of practical THz systems which operate outside the laboratory environment, indicate that THz technologies are promising for the identification of explosives and illicit drugs.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122101270","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5650555
M. Studinger, L. Koenig, Seelye Martin, J. Sonntag
Operation IceBridge, a six-year NASA mission, is the largest airborne survey of Earth's polar ice ever flown. Data collected during IceBridge will help scientists bridge the gap in polar observations between NASA's Ice, Cloud and Land Elevation Satellite (ICESat), in orbit from 2003 to 2009, and ICESat-2, planned for launch in late 2015, making IceBridge critical for ensuring a continuous series of observations. Operation IceBridge is using airborne instruments to map Arctic and Antarctic areas once a year, building on two decades of repeat airborne measurements of rapidly changing areas in the Arctic. Operation IceBridge is also producing critical data that cannot be measured from space such as ice thickness measurements. The first Operation IceBridge flights were conducted in boreal spring 2009 over Greenland and the boreal fall 2009 over Antarctica. Other smaller airborne surveys around the world are also part of NASA's Operation IceBridge campaign.
{"title":"Operation icebridge: Using instrumented aircraft to bridge the observational gap between icesat and icesat-2","authors":"M. Studinger, L. Koenig, Seelye Martin, J. Sonntag","doi":"10.1109/IGARSS.2010.5650555","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650555","url":null,"abstract":"Operation IceBridge, a six-year NASA mission, is the largest airborne survey of Earth's polar ice ever flown. Data collected during IceBridge will help scientists bridge the gap in polar observations between NASA's Ice, Cloud and Land Elevation Satellite (ICESat), in orbit from 2003 to 2009, and ICESat-2, planned for launch in late 2015, making IceBridge critical for ensuring a continuous series of observations. Operation IceBridge is using airborne instruments to map Arctic and Antarctic areas once a year, building on two decades of repeat airborne measurements of rapidly changing areas in the Arctic. Operation IceBridge is also producing critical data that cannot be measured from space such as ice thickness measurements. The first Operation IceBridge flights were conducted in boreal spring 2009 over Greenland and the boreal fall 2009 over Antarctica. Other smaller airborne surveys around the world are also part of NASA's Operation IceBridge campaign.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117261094","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5650531
Tishampati Dhar, C. Menges, D. Gray, J. Douglas, Leighton Wilksch
This paper presents studies carried out over 2 growing season in South Australia to evaluate the suitability of TerrSAR-X dual-polarimetric imagery for crop growth monitoring and yield prediction. End of season crops were observed in 2008 and significant correlation with yield was noted. Mid-season crops were observed in 2009 and due to the lower biomass no significant in field trends were observed in the SAR when compared with concurrently acquired ground NDVI sensor and multispectral optical data. Separability between different crop types is evident in both studies, but crop biomass has to be significant for any in-field variations to be apparent.
{"title":"Supporting precision agriculture with dual-polarimetric TerraSAR-X - yield prediction and identification of in-field variations to generate fertilizer prescription maps","authors":"Tishampati Dhar, C. Menges, D. Gray, J. Douglas, Leighton Wilksch","doi":"10.1109/IGARSS.2010.5650531","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650531","url":null,"abstract":"This paper presents studies carried out over 2 growing season in South Australia to evaluate the suitability of TerrSAR-X dual-polarimetric imagery for crop growth monitoring and yield prediction. End of season crops were observed in 2008 and significant correlation with yield was noted. Mid-season crops were observed in 2009 and due to the lower biomass no significant in field trends were observed in the SAR when compared with concurrently acquired ground NDVI sensor and multispectral optical data. Separability between different crop types is evident in both studies, but crop biomass has to be significant for any in-field variations to be apparent.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262382","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 : 2010-07-25DOI: 10.1109/IGARSS.2010.5654326
Sang‐Hoon Hong, S. Wdowinski
In this study we analyze Radarsat-2 quadruple polarization (quad-pol) mode data acquired over the Everglades wetlands in south Florida. We analyzed the phase information of each polarization mode independently, and obtained similar fringe patterns representing water level changes in all four interferograms. It is surprising, because common scattering theories indicate that cross-polarization (cross-pol) observations reflect volume scattering due to the interaction of the radar signal with upper sections of the vegetation. However, our cross-pol interferometric observations suggest that the cross-pol signal reached the water surface and scattered back to the satellite by a rotated dihedral double bounce mechanism. Based on these new observations, we developed a new scattering formulation that accounts also for double bounce component in cross-pol.
{"title":"Rotated dihedral and volume scattering behavior in cross-polarimetric SAR","authors":"Sang‐Hoon Hong, S. Wdowinski","doi":"10.1109/IGARSS.2010.5654326","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5654326","url":null,"abstract":"In this study we analyze Radarsat-2 quadruple polarization (quad-pol) mode data acquired over the Everglades wetlands in south Florida. We analyzed the phase information of each polarization mode independently, and obtained similar fringe patterns representing water level changes in all four interferograms. It is surprising, because common scattering theories indicate that cross-polarization (cross-pol) observations reflect volume scattering due to the interaction of the radar signal with upper sections of the vegetation. However, our cross-pol interferometric observations suggest that the cross-pol signal reached the water surface and scattered back to the satellite by a rotated dihedral double bounce mechanism. Based on these new observations, we developed a new scattering formulation that accounts also for double bounce component in cross-pol.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117263526","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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