Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5649378
G. D. Martino, A. Iodice, D. Riccio, G. Ruello
In this paper we present a physical model for the description of the speckle in Synthetic Aperture Radar (SAR) images. The proposed model highlights the analytical dependence of the speckle characteristics on the surface roughness and the sensor parameters. The illuminated surface is represented using the fractal geometry. In addition, a SAR raw signal simulator able to generate SAR images whose speckle characteristics are coherent with the observed surface properties is presented.
{"title":"Physical-based models of speckle for high resolution SAR images","authors":"G. D. Martino, A. Iodice, D. Riccio, G. Ruello","doi":"10.1109/IGARSS.2010.5649378","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649378","url":null,"abstract":"In this paper we present a physical model for the description of the speckle in Synthetic Aperture Radar (SAR) images. The proposed model highlights the analytical dependence of the speckle characteristics on the surface roughness and the sensor parameters. The illuminated surface is represented using the fractal geometry. In addition, a SAR raw signal simulator able to generate SAR images whose speckle characteristics are coherent with the observed surface properties is presented.","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":"116526656","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.2010.5652623
D. Monells, G. Centolanza, J. Mallorquí, S. Duque, P. López-Dekker, R. Tomás, G. Herrera, J. Lopez-Sanchez, F. Vicente-Guijalba, Victor D. Navarro-Sanchez, J. Mulas
This paper presents an analysis of the performance of TerraSAR-X for subsidence monitoring in urban areas. The city of Murcia has been selected as a test-site due to its high deformation rate and the set of extensometers deployed along the city that provide validation data. The obtained results have been compared with those ob-tained from ERS/ENVISAT data belonging to the same period and validated with the in-situ measurements.
{"title":"Application of TerraSAR-X data to the monitoring of urban subsidence in the city of Murcia","authors":"D. Monells, G. Centolanza, J. Mallorquí, S. Duque, P. López-Dekker, R. Tomás, G. Herrera, J. Lopez-Sanchez, F. Vicente-Guijalba, Victor D. Navarro-Sanchez, J. Mulas","doi":"10.1109/IGARSS.2010.5652623","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652623","url":null,"abstract":"This paper presents an analysis of the performance of TerraSAR-X for subsidence monitoring in urban areas. The city of Murcia has been selected as a test-site due to its high deformation rate and the set of extensometers deployed along the city that provide validation data. The obtained results have been compared with those ob-tained from ERS/ENVISAT data belonging to the same period and validated with the in-situ measurements.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"31 11 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":"116560136","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.2010.5650316
K. Pfitzner, A. Bollhöfer, Andrew J. Esparon, R. Bartolo, G. Staben
Global spectral libraries of in situ radiance, irradiance, ref ectance and transmittance data are of interest to the remote sensing community, but a lack of quality spectral data accompanied by appropriate metadata is the main reason why spectral libraries often remain “in-house”. We have acquired over 15000 field and laboratory-based spectra, which have associated metadata describing how and why the measurements were taken and documentation of any extraneous factors, such as environmenta cloud cover, that may influence the spectra response. Photographic records accompany the spectral data and metadata. A database was designed to manage and link the varied data. A series of filters are used to classify the data and run quality assurance measures prior to data processing. Acquiring and managing spectral data in this way make these data potentially suitable for applications other than for which they were intended, such as performing remote sensing feasibility studies.
{"title":"Standardised spectra (400-2500 nm) and associated metadata: An example from northern tropical Australia","authors":"K. Pfitzner, A. Bollhöfer, Andrew J. Esparon, R. Bartolo, G. Staben","doi":"10.1109/IGARSS.2010.5650316","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650316","url":null,"abstract":"Global spectral libraries of in situ radiance, irradiance, ref ectance and transmittance data are of interest to the remote sensing community, but a lack of quality spectral data accompanied by appropriate metadata is the main reason why spectral libraries often remain “in-house”. We have acquired over 15000 field and laboratory-based spectra, which have associated metadata describing how and why the measurements were taken and documentation of any extraneous factors, such as environmenta cloud cover, that may influence the spectra response. Photographic records accompany the spectral data and metadata. A database was designed to manage and link the varied data. A series of filters are used to classify the data and run quality assurance measures prior to data processing. Acquiring and managing spectral data in this way make these data potentially suitable for applications other than for which they were intended, such as performing remote sensing feasibility studies.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"167 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":"122321553","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.2010.5651031
Xiaoxia Huang, Zhenhai Zhu, Hongga Li
In this paper, a new approach for detecting and analyzing sea surface slicks caused by hydrocarbon seepage of offshore petroleum accumulations has been developed. This approach uses remote sensing radar technology and geophysical exploration techniques and has been developed based on hydrocarbon seepage theory. In this study, Synthetic Aperture Radar (SAR) data were used as the main data source. These data were integrated with gravity data inversed from satellite altimeter data, geophysical abnormal data from airborne magnetic data, and geological data of oil-and gas-bearing basins. Using the geographical information system, the oil and gas accumulating areas were outlined by the prospect models. This approach for the exploration and evaluation for offshore petroleum accumulations has been applied to two study areas in offshore petroleum basins in China: the Bohai Sea and Pearl River Mouth basins. By comparing the drilling outcomes and relative materials, our results show that the application of this integrated method is very effective.
{"title":"Remote sensing applications for petroleum resource exploration in offshore basins of China","authors":"Xiaoxia Huang, Zhenhai Zhu, Hongga Li","doi":"10.1109/IGARSS.2010.5651031","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651031","url":null,"abstract":"In this paper, a new approach for detecting and analyzing sea surface slicks caused by hydrocarbon seepage of offshore petroleum accumulations has been developed. This approach uses remote sensing radar technology and geophysical exploration techniques and has been developed based on hydrocarbon seepage theory. In this study, Synthetic Aperture Radar (SAR) data were used as the main data source. These data were integrated with gravity data inversed from satellite altimeter data, geophysical abnormal data from airborne magnetic data, and geological data of oil-and gas-bearing basins. Using the geographical information system, the oil and gas accumulating areas were outlined by the prospect models. This approach for the exploration and evaluation for offshore petroleum accumulations has been applied to two study areas in offshore petroleum basins in China: the Bohai Sea and Pearl River Mouth basins. By comparing the drilling outcomes and relative materials, our results show that the application of this integrated method is very effective.","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":"122335918","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.2010.5652141
Yanting Wang, T. Ainsworth, Jong-Sen Lee
The quality of polarimetric synthetic aperture radar (PolSAR) imagery and its polarimetric decompositions depends on the accuracy of polarimetric observations of the SAR system and its calibration. Polarization distortions on the polarimetric measurement can be incurred due to nonideal system polarization quality and propagation factors, such as channel imbalance, cross-talk, and Faraday rotation at lower frequencies. All these distortions have varying impacts on different target types as well as different decomposition methods. In this paper, we assess the polarization quality of the PolSAR system in the context of polarimetric imagery analysis and quantify the various effects of polarization distortions on polarization target decompositions. A generic metric is defined to measure the polarization purity of the system. Considering the fact that target decomposition plays an important role in imagery analysis, we apply several widely used decomposition methods to showcase the polarimetric system requirement based on the defined metric.
{"title":"Evaluation of system polarization quality for polarimetric SAR imagery and target decomposition","authors":"Yanting Wang, T. Ainsworth, Jong-Sen Lee","doi":"10.1109/IGARSS.2010.5652141","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652141","url":null,"abstract":"The quality of polarimetric synthetic aperture radar (PolSAR) imagery and its polarimetric decompositions depends on the accuracy of polarimetric observations of the SAR system and its calibration. Polarization distortions on the polarimetric measurement can be incurred due to nonideal system polarization quality and propagation factors, such as channel imbalance, cross-talk, and Faraday rotation at lower frequencies. All these distortions have varying impacts on different target types as well as different decomposition methods. In this paper, we assess the polarization quality of the PolSAR system in the context of polarimetric imagery analysis and quantify the various effects of polarization distortions on polarization target decompositions. A generic metric is defined to measure the polarization purity of the system. Considering the fact that target decomposition plays an important role in imagery analysis, we apply several widely used decomposition methods to showcase the polarimetric system requirement based on the defined metric.","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":"122435539","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}
S. Kizer, X. Liu, A. Larar, W. Smith, D. Zhou, C. Barnet, M. Divakarla, G. Guo, W. Blackwell, R. Leslie, L. G. Jairam, Karen St. Jermain
As a part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and the NPOESS Preparatory Project (NPP), the instruments Cross-track Infrared Sounder (CrIS) and Advanced Technology Microwave Sounder (ATMS) make up the Cross-track Infrared and Microwave Sounder Suite (CrIMSS). CrIMSS will primarily provide global temperature, moisture, and pressure profiles and calibrated radiances [1]. In preparation for the NPOESS/NPP launch, porting and testing of the CrIMSS Environmental Data Record (EDR) algorithms need to be performed.
{"title":"Porting and testing NPOESS CrIMSS EDR algorithms","authors":"S. Kizer, X. Liu, A. Larar, W. Smith, D. Zhou, C. Barnet, M. Divakarla, G. Guo, W. Blackwell, R. Leslie, L. G. Jairam, Karen St. Jermain","doi":"10.1117/12.869428","DOIUrl":"https://doi.org/10.1117/12.869428","url":null,"abstract":"As a part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and the NPOESS Preparatory Project (NPP), the instruments Cross-track Infrared Sounder (CrIS) and Advanced Technology Microwave Sounder (ATMS) make up the Cross-track Infrared and Microwave Sounder Suite (CrIMSS). CrIMSS will primarily provide global temperature, moisture, and pressure profiles and calibrated radiances [1]. In preparation for the NPOESS/NPP launch, porting and testing of the CrIMSS Environmental Data Record (EDR) algorithms need to be performed.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"178 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":"122788841","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.2010.5650066
A. Iodice, A. Natale, D. Riccio
A polarimetric two-scale surface scattering model employed to retrieve the surface parameters of bare soils from polarimetric SAR data is proposed. The scattering surface is considered as composed of slightly rough randomly tilted facets, for which the Small Perturbation Method holds. The facet random tilt causes a random variation of the local incidence angle, and a random rotation of the local incidence plane around the line of sight, which in turn causes a random rotation of the facet scattering matrix. Unlike other similar already existing approaches, our method considers both these effects. The proposed scattering model is then used to retrieve bare soil moisture and (large-scale) roughness from the co-polarized and cross-polarized ratios. The performances of the resulting retrieval algorithm is finally assessed by comparing obtained results to “in situ” measurements. To this aim, data from Little Washita campaign available in literature is employed.
{"title":"A polarimetric two-scale model for soil moisture retrieval","authors":"A. Iodice, A. Natale, D. Riccio","doi":"10.1109/IGARSS.2010.5650066","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5650066","url":null,"abstract":"A polarimetric two-scale surface scattering model employed to retrieve the surface parameters of bare soils from polarimetric SAR data is proposed. The scattering surface is considered as composed of slightly rough randomly tilted facets, for which the Small Perturbation Method holds. The facet random tilt causes a random variation of the local incidence angle, and a random rotation of the local incidence plane around the line of sight, which in turn causes a random rotation of the facet scattering matrix. Unlike other similar already existing approaches, our method considers both these effects. The proposed scattering model is then used to retrieve bare soil moisture and (large-scale) roughness from the co-polarized and cross-polarized ratios. The performances of the resulting retrieval algorithm is finally assessed by comparing obtained results to “in situ” measurements. To this aim, data from Little Washita campaign available in literature is employed.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"36 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":"122833437","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.2010.5649635
F. Fabra, E. Cardellach, O. Nogués-Correig, S. Oliveras, S. Ribo, A. Rius, M. Rivas, M. Semmling, G. Macelloni, S. Pettinato, R. Zasso, S. D'addio
GPS reflected signals have become a source of opportunity for remote sensing of the Earth's suface. In this work, we present several capabilities of this technique in two different polar environments: Greenland and Antarctica. The first part is dedicated to the retrieval of sea-ice properties, giving emphasis to the study of the coherent phase for altimetric and roughness estimations, and polarimetric measurements for the determination of the ice salinity variation. The results show good agreement with a tide model and daily ice charts. On the second part, some preliminary results and analysis strategies to retrieve dry snow signatures are presented.
{"title":"Monitoring sea-ice and dry snow with GNSS reflections","authors":"F. Fabra, E. Cardellach, O. Nogués-Correig, S. Oliveras, S. Ribo, A. Rius, M. Rivas, M. Semmling, G. Macelloni, S. Pettinato, R. Zasso, S. D'addio","doi":"10.1109/IGARSS.2010.5649635","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649635","url":null,"abstract":"GPS reflected signals have become a source of opportunity for remote sensing of the Earth's suface. In this work, we present several capabilities of this technique in two different polar environments: Greenland and Antarctica. The first part is dedicated to the retrieval of sea-ice properties, giving emphasis to the study of the coherent phase for altimetric and roughness estimations, and polarimetric measurements for the determination of the ice salinity variation. The results show good agreement with a tide model and daily ice charts. On the second part, some preliminary results and analysis strategies to retrieve dry snow signatures are presented.","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":"122886680","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.2010.5652746
G. Chander, N. Mishra, D. Helder, D. Aaron, T. Choi, A. Angal, X. Xiong
Different applications and technology developments in Earth observations necessarily require different spectral coverage. Thus, even for the spectral bands designed to look at the same region of the electromagnetic spectrum, the relative spectral responses (RSR) of different sensors may be different. In this study, spectral band adjustment factors (SBAF) are derived using hyperspectral Earth Observing-1 (EO-1) Hyperion measurements to adjust for the spectral band differences between the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) top-of-atmosphere (TOA) reflectance measurements from 2000 to 2009 over the pseudo-invariant Libya 4 reference standard test site.
{"title":"Use of EO-1 Hyperion data to calculate spectral band adjustment factors (SBAF) between the L7 ETM+ and Terra MODIS sensors","authors":"G. Chander, N. Mishra, D. Helder, D. Aaron, T. Choi, A. Angal, X. Xiong","doi":"10.1109/IGARSS.2010.5652746","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652746","url":null,"abstract":"Different applications and technology developments in Earth observations necessarily require different spectral coverage. Thus, even for the spectral bands designed to look at the same region of the electromagnetic spectrum, the relative spectral responses (RSR) of different sensors may be different. In this study, spectral band adjustment factors (SBAF) are derived using hyperspectral Earth Observing-1 (EO-1) Hyperion measurements to adjust for the spectral band differences between the Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) top-of-atmosphere (TOA) reflectance measurements from 2000 to 2009 over the pseudo-invariant Libya 4 reference standard test site.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"236 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":"122961795","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.2010.5654478
Li Li, Q. Yin, Hua Xu, Cailan Gong, Zhenghua Chen
Chlorophyll fluorescence properties are effective in detecting chlorophyll a concentration in lake water, which provided new optional sensitive bands to retrieval chl-a concentration in complex water. Hyper Spectral Imager (HSI) on HJ-1A satellite with great spectral resolution can be used to detect spectral characteristics of chlorophyll fluorescence peak. The effects of empirical algorithms of lake Taihu and the algorithm based on height of fluorescence peak are analyzed by using MODIS data and HSI data respectively. The results show that compared with empirical MODIS algorithms of lake Taihu, chl-a retrieval based on HSI is more similar to the in-situ reference data.
{"title":"Estimating chlorophyll a concentration in lake water using space-borne hyperspectral data","authors":"Li Li, Q. Yin, Hua Xu, Cailan Gong, Zhenghua Chen","doi":"10.1109/IGARSS.2010.5654478","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5654478","url":null,"abstract":"Chlorophyll fluorescence properties are effective in detecting chlorophyll a concentration in lake water, which provided new optional sensitive bands to retrieval chl-a concentration in complex water. Hyper Spectral Imager (HSI) on HJ-1A satellite with great spectral resolution can be used to detect spectral characteristics of chlorophyll fluorescence peak. The effects of empirical algorithms of lake Taihu and the algorithm based on height of fluorescence peak are analyzed by using MODIS data and HSI data respectively. The results show that compared with empirical MODIS algorithms of lake Taihu, chl-a retrieval based on HSI is more similar to the in-situ reference data.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"152 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":"122966068","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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