Pub Date : 1997-08-03DOI: 10.1109/IGARSS.1997.608995
T. Iguchi, T. Kozu, R. Meneghini, K. Okamoto
Describes an outline of the algorithm that estimates the instantaneous profiles of the true radar reflectivity factor and rainfall rate from the radar reflectivity profiles observed by the precipitation radar (PR) onboard the TRMM satellite. The major challenge of the algorithm lies in the correction of rain attenuation with the non-uniform beam filling effect. The algorithm was tested with synthetic data and the result is shown.
{"title":"Rain profiling algorithm for the TRMM precipitation radar","authors":"T. Iguchi, T. Kozu, R. Meneghini, K. Okamoto","doi":"10.1109/IGARSS.1997.608995","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.608995","url":null,"abstract":"Describes an outline of the algorithm that estimates the instantaneous profiles of the true radar reflectivity factor and rainfall rate from the radar reflectivity profiles observed by the precipitation radar (PR) onboard the TRMM satellite. The major challenge of the algorithm lies in the correction of rain attenuation with the non-uniform beam filling effect. The algorithm was tested with synthetic data and the result is shown.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"6 1","pages":"1636-1638 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79356761","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615870
S. Tamba, R. Yokoyama
A thermal infrared camera provides relevant data to observe fine structure of sea skin temperature distribution. The image is exposed to various noises. The authors have developed two algorithms to correct a strip-type noise caused by the scanning mechanism and an inverse shading-type noise caused by spatial inhomogeneity of detecting sensitivity. The first algorithm is based on the two dimensional Fourier transform, and the second one was based on a spatial weighting function. By applying to scanning mode images of MUBEX the authors could confirm the effectiveness of the algorithms.
{"title":"Line noise extraction of thermal infrared camera image in observing sea skin temperature","authors":"S. Tamba, R. Yokoyama","doi":"10.1109/IGARSS.1997.615870","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615870","url":null,"abstract":"A thermal infrared camera provides relevant data to observe fine structure of sea skin temperature distribution. The image is exposed to various noises. The authors have developed two algorithms to correct a strip-type noise caused by the scanning mechanism and an inverse shading-type noise caused by spatial inhomogeneity of detecting sensitivity. The first algorithm is based on the two dimensional Fourier transform, and the second one was based on a spatial weighting function. By applying to scanning mode images of MUBEX the authors could confirm the effectiveness of the algorithms.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"26 1","pages":"305-307 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81411006","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.608891
Jiancheng Shi, Rich Kattlemann, J. Dozier
The authors have developed a microwave model to evaluate the effects of large structures in wet snowcover, such as draining fingers and channels, on backscattering and polarization properties, especially at L-band. With the numerical simulation, they demonstrate the characteristics of backscattering and polarization signatures at each stage of draining finger and channel developments. The authors show the potential of SAR applications for both snow melting model improvement and snow avalanche prediction and control.
{"title":"Effects of large structure in wet snow cover on SAR measurements","authors":"Jiancheng Shi, Rich Kattlemann, J. Dozier","doi":"10.1109/IGARSS.1997.608891","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.608891","url":null,"abstract":"The authors have developed a microwave model to evaluate the effects of large structures in wet snowcover, such as draining fingers and channels, on backscattering and polarization properties, especially at L-band. With the numerical simulation, they demonstrate the characteristics of backscattering and polarization signatures at each stage of draining finger and channel developments. The authors show the potential of SAR applications for both snow melting model improvement and snow avalanche prediction and control.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"59 1","pages":"1451-1453 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84266869","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615235
D. Casarano, F. Posa, Francesco Mattia, G. D. Carolis, J. Souyris, T. L. Toan, Guido Pasquariello
The objective of this paper is to investigate the impact of a multiscale roughness description on the surface radar backscattering response. Surfaces are generated using a 2D fractional Brownian motion process. A Monte-Carlo EM simulation based on the Kirchhoff tangent plane approximation is used to derive the backscattering coefficient. Numerical results are compared with backscattering coefficients obtained by means of the IEM model. Exponential, Gaussian and hybrid autocorrelation functions are considered.
{"title":"Monte Carlo simulation of backscattering from natural soil surfaces","authors":"D. Casarano, F. Posa, Francesco Mattia, G. D. Carolis, J. Souyris, T. L. Toan, Guido Pasquariello","doi":"10.1109/IGARSS.1997.615235","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615235","url":null,"abstract":"The objective of this paper is to investigate the impact of a multiscale roughness description on the surface radar backscattering response. Surfaces are generated using a 2D fractional Brownian motion process. A Monte-Carlo EM simulation based on the Kirchhoff tangent plane approximation is used to derive the backscattering coefficient. Numerical results are compared with backscattering coefficients obtained by means of the IEM model. Exponential, Gaussian and hybrid autocorrelation functions are considered.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"11 1","pages":"719-721 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84361186","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615337
A. Lopes, J. Bruniquel, F. Séry, E. Nezry
For surfaces satisfying the "product model", the sample covariance matrix (CM) is the product of a positive scalar random variable /spl mu/ representing texture and a mean CM representing the polarimetric properties of the surface. The maximum likelihood (ML) estimator of /spl mu/ is given by the multilook polarimetric whitening filter (MPWF). The ML estimator satisfies the well known multiplicative speckle model. For the multiplicative model, the authors analyze the optimality of the texture estimators by using decision theory and Bayes approach. They develop a new estimator for gamma distributed texture. The a posteriori mean (APM) estimator is radiometrically unbiased and has the smallest mean square error (MSE) of all estimators. The gamma-MAP estimator, on the contrary, is radiometrically biased, but it preserves the textural contrast better.
{"title":"Optimal Bayesian texture estimators for speckle filtering of detected and polarimetric data","authors":"A. Lopes, J. Bruniquel, F. Séry, E. Nezry","doi":"10.1109/IGARSS.1997.615337","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615337","url":null,"abstract":"For surfaces satisfying the \"product model\", the sample covariance matrix (CM) is the product of a positive scalar random variable /spl mu/ representing texture and a mean CM representing the polarimetric properties of the surface. The maximum likelihood (ML) estimator of /spl mu/ is given by the multilook polarimetric whitening filter (MPWF). The ML estimator satisfies the well known multiplicative speckle model. For the multiplicative model, the authors analyze the optimality of the texture estimators by using decision theory and Bayes approach. They develop a new estimator for gamma distributed texture. The a posteriori mean (APM) estimator is radiometrically unbiased and has the smallest mean square error (MSE) of all estimators. The gamma-MAP estimator, on the contrary, is radiometrically biased, but it preserves the textural contrast better.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"350 1","pages":"1044-1046 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84867707","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615814
S. Christopher, M. Wang, D. Kliche, R. Welch, S. Nolf, V. Connors
The current study examines global fire patterns, aerosol optical thickness (AOT) and carbon monoxide concentrations during April 9-19, 1994. Recently, global Advanced Very High Resolution Radiometer (AVHRR) data at nadir ground spatial resolution of 1 km are made available through the NASANOAA Pathfinder project. These data from April 9-19, 1994 are used to map fires over the Earth. Daytime data with equatorial crossing time of 1340 Local Solar time (LST) from NOAA11 during the ascending orbit is used in this investigation. The main reason for choosing this time period is to compare the fire patterns observed by the astronauts aboard space shuttle SRL-1. During this time, global mid-tropospheric measurements of carbon monoxide were also made from the MAPS instrument onboard the same space shuttle. The elevated levels of CO in the troposphere are often attributed to biomass burning. This provides a unique opportunity to obtain fire distributions from independent methods and to compare fire activities with carbon monoxide concentrations measured by MAPS. One hundred thirty-nine global strips of AVHRR images were used to create this figure. More than 500 fires were detected in the belt between 10-20/spl deg/N which correspond to fire activities in Africa, Mexico, and the Indo-Burma region. These fire activities correspond to biomass burning due to agricultural practices. A comparison with the Olson ecosystem data base shows the majority of fires are in the savanna, grass shrub, and farm settlement categories. When compared to the Northern hemisphere, the Southern hemisphere has a fewer number of fires because April is the dry season in the Northern hemisphere.
{"title":"Remote sensing of global fire patterns, aerosol optical thickness, and carbon monoxide during April 1994","authors":"S. Christopher, M. Wang, D. Kliche, R. Welch, S. Nolf, V. Connors","doi":"10.1109/IGARSS.1997.615814","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615814","url":null,"abstract":"The current study examines global fire patterns, aerosol optical thickness (AOT) and carbon monoxide concentrations during April 9-19, 1994. Recently, global Advanced Very High Resolution Radiometer (AVHRR) data at nadir ground spatial resolution of 1 km are made available through the NASANOAA Pathfinder project. These data from April 9-19, 1994 are used to map fires over the Earth. Daytime data with equatorial crossing time of 1340 Local Solar time (LST) from NOAA11 during the ascending orbit is used in this investigation. The main reason for choosing this time period is to compare the fire patterns observed by the astronauts aboard space shuttle SRL-1. During this time, global mid-tropospheric measurements of carbon monoxide were also made from the MAPS instrument onboard the same space shuttle. The elevated levels of CO in the troposphere are often attributed to biomass burning. This provides a unique opportunity to obtain fire distributions from independent methods and to compare fire activities with carbon monoxide concentrations measured by MAPS. One hundred thirty-nine global strips of AVHRR images were used to create this figure. More than 500 fires were detected in the belt between 10-20/spl deg/N which correspond to fire activities in Africa, Mexico, and the Indo-Burma region. These fire activities correspond to biomass burning due to agricultural practices. A comparison with the Olson ecosystem data base shows the majority of fires are in the savanna, grass shrub, and farm settlement categories. When compared to the Northern hemisphere, the Southern hemisphere has a fewer number of fires because April is the dry season in the Northern hemisphere.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"366 1","pages":"116-118 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84907345","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.606411
L. Pierce
All recent scientific SAR data is formatted in compliance, more or less, with the CEOS standard developed recently. If this standard were followed meticulously by each organization that produces SAR data, a single program could read all of the data. However, there are small but significant differences in how each sensor's data is formatted and this has led to the need for a different program to read the data for each sensor, and even for each format from the same sensor. This makes using the data difficult for most users, as the first step is to read it in to some kind of image processing system, such as ERDAS, PCI, GRASS, KHOROS, etc. The solution to this problem has been for data providers and commercial vendors to write tape readers for their customers. Unfortunately, many of these readers do not read all the ancillary data and do not allow easy porting for use with other image processing systems. A new general reader has been developed that solves all these problems. It uses simple text "format" files to define the data that is to be read in: variable name and type, location in file, and format. The reader writes a new file in a new format, as described later. A standard reader now reads from this new file, allowing the user to write interface code to read the data (ancillary and image) into the user's image processing system. The new proposed format addresses the following issues: (1) a single file per image, with a single record-length per file; (2) Ancillary data in ASCII: KEYWORD=value; comment; (3) Self-documenting via comments and strict syntax; (4) Self-reading, so that a program can inspect input file and generate code that can read in all data in input file; (5) Addition of new parameters is simple, and users can generate readers for the new format with the program in 4. This code is written and works now.
{"title":"Reading SAR data: a new general reader and a proposed new standard","authors":"L. Pierce","doi":"10.1109/IGARSS.1997.606411","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606411","url":null,"abstract":"All recent scientific SAR data is formatted in compliance, more or less, with the CEOS standard developed recently. If this standard were followed meticulously by each organization that produces SAR data, a single program could read all of the data. However, there are small but significant differences in how each sensor's data is formatted and this has led to the need for a different program to read the data for each sensor, and even for each format from the same sensor. This makes using the data difficult for most users, as the first step is to read it in to some kind of image processing system, such as ERDAS, PCI, GRASS, KHOROS, etc. The solution to this problem has been for data providers and commercial vendors to write tape readers for their customers. Unfortunately, many of these readers do not read all the ancillary data and do not allow easy porting for use with other image processing systems. A new general reader has been developed that solves all these problems. It uses simple text \"format\" files to define the data that is to be read in: variable name and type, location in file, and format. The reader writes a new file in a new format, as described later. A standard reader now reads from this new file, allowing the user to write interface code to read the data (ancillary and image) into the user's image processing system. The new proposed format addresses the following issues: (1) a single file per image, with a single record-length per file; (2) Ancillary data in ASCII: KEYWORD=value; comment; (3) Self-documenting via comments and strict syntax; (4) Self-reading, so that a program can inspect input file and generate code that can read in all data in input file; (5) Addition of new parameters is simple, and users can generate readers for the new format with the program in 4. This code is written and works now.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"57 1","pages":"1246-1248 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85056726","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.606369
T. Kozu, T. Iguchi
A method to correct spaceborne rain radar measurement for non-uniform beam filling (NUBF) is studied using a shipborne radar data set over the tropical Pacific. Statistical analyses are made on spatial variabilities of rain rate. The result is reflected in estimating the variability in a radar IFOV which is then used to obtain a NUBF correction factor. Results indicate the usefulness of this method for reducing bias error in rain rate estimation.
{"title":"Non-uniform beam filling correction for spaceborne rain radar measurement: a simulation study using shipborne radar data over tropical Pacific","authors":"T. Kozu, T. Iguchi","doi":"10.1109/IGARSS.1997.606369","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.606369","url":null,"abstract":"A method to correct spaceborne rain radar measurement for non-uniform beam filling (NUBF) is studied using a shipborne radar data set over the tropical Pacific. Statistical analyses are made on spatial variabilities of rain rate. The result is reflected in estimating the variability in a radar IFOV which is then used to obtain a NUBF correction factor. Results indicate the usefulness of this method for reducing bias error in rain rate estimation.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"33 1","pages":"1117-1119 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85196188","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.609168
J. Kjellgren
The authors have developed a combined temperature and water content model for bare soil in one spatial dimension (depth) and time. The main purpose of the model is the study of the surface temperature variations due to a number of environmental parameters. In addition the authors also study the water content of the soil due to the great influence of evaporation. They characterize the soil by the thermodynamic and water tension properties. Experimental data have been used to support the model development. The core of the model is two coupled differential equations, one describing the temperature and the heat flow of the soil and one handling the water fraction and the soil water flow. The thermodynamic parameters of the heat flow depend on the water content. At the soil surface they model the heat exchange due to solar radiation, the thermal radiation exchange between the soil and the sky, the heat exchange due to air (and rain) convection and the exchange of sensible heat (mainly evaporation). They suppose no heat flow through the bottom surface.
{"title":"A combined temperature and water content model for bare soil","authors":"J. Kjellgren","doi":"10.1109/IGARSS.1997.609168","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.609168","url":null,"abstract":"The authors have developed a combined temperature and water content model for bare soil in one spatial dimension (depth) and time. The main purpose of the model is the study of the surface temperature variations due to a number of environmental parameters. In addition the authors also study the water content of the soil due to the great influence of evaporation. They characterize the soil by the thermodynamic and water tension properties. Experimental data have been used to support the model development. The core of the model is two coupled differential equations, one describing the temperature and the heat flow of the soil and one handling the water fraction and the soil water flow. The thermodynamic parameters of the heat flow depend on the water content. At the soil surface they model the heat exchange due to solar radiation, the thermal radiation exchange between the soil and the sky, the heat exchange due to air (and rain) convection and the exchange of sensible heat (mainly evaporation). They suppose no heat flow through the bottom surface.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"14 1","pages":"1962-1965 vol.4"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85980000","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 : 1997-08-03DOI: 10.1109/IGARSS.1997.615941
P. Bicheron, M. Leroy, O. Hautecoeur
The objectives of the paper is to study a method of retrieval of LAI and fAPAR parameters based on the inversion of a BRDF model against remote sensing data from forthcoming wide field of view optical satellite sensors such as POLDER/ADEOS, VGT/SPOT4, MODIS/EOS, MISR/EOS. The model used is that of Kuusk (1994). The evaluation of this approach is made with field data and airborne POLDER acquired during BOREAS 94 and HAPEX 92. The results show that the LAI is restituted with an accuracy higher than that obtained with a semi-empirical relationship LAI-vegetation index. The daily fAPAR is also very well restituted. It is concluded that the retrieval of biophysical parameters from inversion of a BRDF model is promising in the perspective of a quantitative characterization of the terrestrial biosphere.
{"title":"Retrieving of LAI and fAPAR with airborne POLDER data over various biomes","authors":"P. Bicheron, M. Leroy, O. Hautecoeur","doi":"10.1109/IGARSS.1997.615941","DOIUrl":"https://doi.org/10.1109/IGARSS.1997.615941","url":null,"abstract":"The objectives of the paper is to study a method of retrieval of LAI and fAPAR parameters based on the inversion of a BRDF model against remote sensing data from forthcoming wide field of view optical satellite sensors such as POLDER/ADEOS, VGT/SPOT4, MODIS/EOS, MISR/EOS. The model used is that of Kuusk (1994). The evaluation of this approach is made with field data and airborne POLDER acquired during BOREAS 94 and HAPEX 92. The results show that the LAI is restituted with an accuracy higher than that obtained with a semi-empirical relationship LAI-vegetation index. The daily fAPAR is also very well restituted. It is concluded that the retrieval of biophysical parameters from inversion of a BRDF model is promising in the perspective of a quantitative characterization of the terrestrial biosphere.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"64 1","pages":"556-558 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80886399","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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