Pub Date : 2010-07-25DOI: 10.1109/IGARSS.2010.5649912
Zhanfeng Shen, Jiancheng Luo, Lijing Gao
As a main factor of evaluating city development speed, road is one of the fast information updating element during city development. Road information extraction based on high-resolution remotely sensed images has very important significance because road affects city land use-cover change. Based on the synthetically analyzing all kinds of read extraction method from high-resolution remotely sensed images, this paper presents the road extraction method that firstly extracts parcel-units from the experimental image based on different scales, and then analyzes the parcel-units assisted by transcendental knowledge. This method can extract road information exactly by object-oriented method, and can acquire different-scale roads according to the user's requirement. At last this paper gives the road information extraction result analysis of the experiment sample.
{"title":"Road extraction from high-resolution remotely sensed panchromatic image in different research scales","authors":"Zhanfeng Shen, Jiancheng Luo, Lijing Gao","doi":"10.1109/IGARSS.2010.5649912","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649912","url":null,"abstract":"As a main factor of evaluating city development speed, road is one of the fast information updating element during city development. Road information extraction based on high-resolution remotely sensed images has very important significance because road affects city land use-cover change. Based on the synthetically analyzing all kinds of read extraction method from high-resolution remotely sensed images, this paper presents the road extraction method that firstly extracts parcel-units from the experimental image based on different scales, and then analyzes the parcel-units assisted by transcendental knowledge. This method can extract road information exactly by object-oriented method, and can acquire different-scale roads according to the user's requirement. At last this paper gives the road information extraction result analysis of the experiment sample.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"4 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":"130676378","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.2010.5653414
H. Chi, Zhifeng Guo, G. Sun
In this study, the aboveground biomass (AGB) was estimated for the forest in Daxinganlin (Northeastern China) area by combining CCD data from Small Satellite for Disaster and Environment Monitoring and Forecast (HJ-1) and Geoscience Laser Altimeter System (GLAS) data, onboard the Ice, Cloud and land Elevation Satellite (ICESat). The AGB biomass prediction models at GLAS footprint level were developed from GLAS waveform variables and filed survey plot biomass in Changqing (CQ) forest farm, and then were used to estimate the biomass for all GLAS footprints of forest in the study area. The footprint forest biomass and the spectral reflectivity parameters and vegetation indices from HJ-1 satellites CCD data were then used to establish biomass prediction model to predict forest AGB in the entire study site using multiple linear regression method. Compared with the Zhuanglin (ZL) field investigated data, the mean error is 5.74 ton/ha.
{"title":"Estimating regional aboveground forest biomass using HJ-1 satellite data and ICESat","authors":"H. Chi, Zhifeng Guo, G. Sun","doi":"10.1109/IGARSS.2010.5653414","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653414","url":null,"abstract":"In this study, the aboveground biomass (AGB) was estimated for the forest in Daxinganlin (Northeastern China) area by combining CCD data from Small Satellite for Disaster and Environment Monitoring and Forecast (HJ-1) and Geoscience Laser Altimeter System (GLAS) data, onboard the Ice, Cloud and land Elevation Satellite (ICESat). The AGB biomass prediction models at GLAS footprint level were developed from GLAS waveform variables and filed survey plot biomass in Changqing (CQ) forest farm, and then were used to estimate the biomass for all GLAS footprints of forest in the study area. The footprint forest biomass and the spectral reflectivity parameters and vegetation indices from HJ-1 satellites CCD data were then used to establish biomass prediction model to predict forest AGB in the entire study site using multiple linear regression method. Compared with the Zhuanglin (ZL) field investigated data, the mean error is 5.74 ton/ha.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"82 3 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":"123813640","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.2010.5652116
A. Merzouki, H. Mcnairn, A. Pacheco
The purpose of this study is to evaluate the capability of the Oh backscattering model in combination with the Freeman Durden decomposition to estimate soil moisture over agricultural fields from fully polarimetric RADARSAT-2 C-band SAR responses. Initially, soil moisture multi-polarization retrieval was accomplished by using a look-up table (LUT) approach applied to the Oh model. Two methods were considered: the multi-polarization method and the one-unknown configuration. Of the two methods, results showed that the HH-HV inversion provided the best estimates. In the second phase, the Freeman Durden decomposition was applied to the polarimetric data. The conceptual approach for retrieving soil moisture using the surface scattering component of the total power was implemented in a LUT inversion. The algorithm attempts to minimize the difference between measured single scattering power obtained by applying the Freeman Durden decomposition and simulated total power using Oh model. When compared with the multi-polarization approach, this polarimetry-based method improves the accuracy of soil moisture estimates.
{"title":"Potential of mapping soil moisture by combining radar backscatter modeling and PolSAR decomposition","authors":"A. Merzouki, H. Mcnairn, A. Pacheco","doi":"10.1109/IGARSS.2010.5652116","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652116","url":null,"abstract":"The purpose of this study is to evaluate the capability of the Oh backscattering model in combination with the Freeman Durden decomposition to estimate soil moisture over agricultural fields from fully polarimetric RADARSAT-2 C-band SAR responses. Initially, soil moisture multi-polarization retrieval was accomplished by using a look-up table (LUT) approach applied to the Oh model. Two methods were considered: the multi-polarization method and the one-unknown configuration. Of the two methods, results showed that the HH-HV inversion provided the best estimates. In the second phase, the Freeman Durden decomposition was applied to the polarimetric data. The conceptual approach for retrieving soil moisture using the surface scattering component of the total power was implemented in a LUT inversion. The algorithm attempts to minimize the difference between measured single scattering power obtained by applying the Freeman Durden decomposition and simulated total power using Oh model. When compared with the multi-polarization approach, this polarimetry-based method improves the accuracy of soil moisture estimates.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"278 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":"124215141","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.2010.5651158
S. B. Mustapha, P. Larouche, J. Dubois
Eleven years of NOAA (AVHRR) images of sea surface temperature (SST) have been used to detect ocean thermal fronts in the southeastern Beaufort Sea. As expected, front detection is easier in the summer season. Location of major known fronts (Shelf Break Front, Mackenzie River Plume Front) was confirmed and new frontal regions (Cape Bathurst, Mackenzie Trough, Amundsen Gulf coastal zones) were identified. These fronts appear mostly driven by wind and tidal mixing along steep shelf slopes and may be playing an important role in the biological processes.
{"title":"Does AVHRR-sea surface temperature fronts in the Beaufort Sea reveal biological hotspots?","authors":"S. B. Mustapha, P. Larouche, J. Dubois","doi":"10.1109/IGARSS.2010.5651158","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5651158","url":null,"abstract":"Eleven years of NOAA (AVHRR) images of sea surface temperature (SST) have been used to detect ocean thermal fronts in the southeastern Beaufort Sea. As expected, front detection is easier in the summer season. Location of major known fronts (Shelf Break Front, Mackenzie River Plume Front) was confirmed and new frontal regions (Cape Bathurst, Mackenzie Trough, Amundsen Gulf coastal zones) were identified. These fronts appear mostly driven by wind and tidal mixing along steep shelf slopes and may be playing an important role in the biological processes.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"1015 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":"123325887","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.2010.5649669
M. Chabert, J. Tourneret, V. Poulain, J. Inglada
This paper studies database updating using optical and synthetic aperture radar images. Logistic regression is used to model the conditional probability of presence/absence of buildings given features extracted from the images. The logistic regression parameters are estimated using the maximum likelihood method. Binary hypothesis tests are then constructed from these estimates to detect changes between the optical/radar images and the existing database. The estimation and detection algorithms are evaluated using simulated and real data sets.
{"title":"Logistic regression for detecting changes between databases and remote sensing images","authors":"M. Chabert, J. Tourneret, V. Poulain, J. Inglada","doi":"10.1109/IGARSS.2010.5649669","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649669","url":null,"abstract":"This paper studies database updating using optical and synthetic aperture radar images. Logistic regression is used to model the conditional probability of presence/absence of buildings given features extracted from the images. The logistic regression parameters are estimated using the maximum likelihood method. Binary hypothesis tests are then constructed from these estimates to detect changes between the optical/radar images and the existing database. The estimation and detection algorithms are evaluated using simulated and real data sets.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"70 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":"123480682","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.2010.5652051
M. Butenuth
In this paper, a new approach for the geometric refinement of road networks using network snakes and SAR images is presented. Network snakes are based on the well-known active contour models, but in addition to the image energy and internal energy the topology is introduced into the optimization process. This graph-based active contour method enables a complete topological and shape control during the object delineation. The method is applied to the geometric refinement of road networks to improve and correct GIS-databases as a basis for traffic navigation or infrastructure planning purposes. The proposed approach is either able to deal with roads from a database as initialization in an automatic system or, alternatively, within an interactive framework to derive a geometrically optimized road network. The derived results using SAR images are evaluated with reference date to demonstrate the benefit and transferability of network snakes.
{"title":"Geometric refinement of road networks using network snakes and SAR images","authors":"M. Butenuth","doi":"10.1109/IGARSS.2010.5652051","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652051","url":null,"abstract":"In this paper, a new approach for the geometric refinement of road networks using network snakes and SAR images is presented. Network snakes are based on the well-known active contour models, but in addition to the image energy and internal energy the topology is introduced into the optimization process. This graph-based active contour method enables a complete topological and shape control during the object delineation. The method is applied to the geometric refinement of road networks to improve and correct GIS-databases as a basis for traffic navigation or infrastructure planning purposes. The proposed approach is either able to deal with roads from a database as initialization in an automatic system or, alternatively, within an interactive framework to derive a geometrically optimized road network. The derived results using SAR images are evaluated with reference date to demonstrate the benefit and transferability of network snakes.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"35 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":"121155963","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.2010.5654408
Yajing Yan, E. Trouvé, A. Bisserier, G. Mauris, S. Galichet, V. Pinel, E. Pathier
In this paper, 2 data fusion strategies from SAR images are investigated through application to measurement of displacement field due to the Kashmir earthquake (Mw=7.6, 2005). Firstly, the 3D displacement field at the Earth's surface is retrieved by a linear inversion, using the measurements from sub-pixel image correlation and differential interferometry. In addition to the generalized least square method, a fuzzy approach is applied to represent the measurement uncertainty. Secondly, the geometry of the fault is optimized by a non linear inversion, using the same measurements. The inter-comparisons between strategies and approaches are performed in order to highlight the advantages and disadvantages of each strategy and approach.
{"title":"Assimilation of D-InSAR and sub-pixel image correlation displacement measurements for coseismic fault parameter estimation","authors":"Yajing Yan, E. Trouvé, A. Bisserier, G. Mauris, S. Galichet, V. Pinel, E. Pathier","doi":"10.1109/IGARSS.2010.5654408","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5654408","url":null,"abstract":"In this paper, 2 data fusion strategies from SAR images are investigated through application to measurement of displacement field due to the Kashmir earthquake (Mw=7.6, 2005). Firstly, the 3D displacement field at the Earth's surface is retrieved by a linear inversion, using the measurements from sub-pixel image correlation and differential interferometry. In addition to the generalized least square method, a fuzzy approach is applied to represent the measurement uncertainty. Secondly, the geometry of the fault is optimized by a non linear inversion, using the same measurements. The inter-comparisons between strategies and approaches are performed in order to highlight the advantages and disadvantages of each strategy and approach.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"288 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":"121174768","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.2010.5649309
Eduardo Torres-Martinez, W. Heaps, U. Singh
The benefits of Earth Science (ES) laser instrumentation have been proven by decades of earth-science observations. Lasers allow remote sensing of earth-system variables such as sea elevation, atmospheric composition, wind profiles, cloud cover, ice mass, and vegetation canopy. Further, orbiting platforms provide a unique vantage point that allows laser measurements on a global scale. NASA implemented the Laser Risk Reduction Program (LRRP) to identify and address capability-gap areas where new devices or processes could yield high-reliability mission-ready parts, and to develop components needed to advance the state-of-the-art of laser-based instrumentation. This paper discusses LRRP's approach and the evolution of the program's developments from inception to their planned infusion into NASA's missions. It is the first part of a three-paper presentation (Program goals and organization; 1µ developments and results at the Goddard Space Flight Center (GSFC); and 2µ developments and results at Langley Research Center (LaRC)) that summarizes LRRP's goals, formulation approach, management organization, and final results.
{"title":"Nasa's Laser Risk Reduction Program: A risk reduction approach for technology development","authors":"Eduardo Torres-Martinez, W. Heaps, U. Singh","doi":"10.1109/IGARSS.2010.5649309","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5649309","url":null,"abstract":"The benefits of Earth Science (ES) laser instrumentation have been proven by decades of earth-science observations. Lasers allow remote sensing of earth-system variables such as sea elevation, atmospheric composition, wind profiles, cloud cover, ice mass, and vegetation canopy. Further, orbiting platforms provide a unique vantage point that allows laser measurements on a global scale. NASA implemented the Laser Risk Reduction Program (LRRP) to identify and address capability-gap areas where new devices or processes could yield high-reliability mission-ready parts, and to develop components needed to advance the state-of-the-art of laser-based instrumentation. This paper discusses LRRP's approach and the evolution of the program's developments from inception to their planned infusion into NASA's missions. It is the first part of a three-paper presentation (Program goals and organization; 1µ developments and results at the Goddard Space Flight Center (GSFC); and 2µ developments and results at Langley Research Center (LaRC)) that summarizes LRRP's goals, formulation approach, management organization, and final results.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"66 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":"121401045","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.2010.5652406
Nestor Yague-Martinez, C. Rossi, M. Lachaise, Fernando Rodríguez González, T. Fritz, H. Breit
The purpose of this paper is to provide an algorithmic overview of the interferometric processing embedded in the Integrated TanDEM-X Processor (ITP), settled to the generation of the raw digital elevation model (DEM). The main processing blocks are described, with a focus on the spectral matching of the azimuth spectra, the high-precision coregistration, the dual-baseline phase unwrapping and the geocoding of the products. The robustness of the algorithms is demonstrated through a dual-pass TerraSAR-X scenario.
{"title":"Interferometric processing algorithms of TanDEM-X data","authors":"Nestor Yague-Martinez, C. Rossi, M. Lachaise, Fernando Rodríguez González, T. Fritz, H. Breit","doi":"10.1109/IGARSS.2010.5652406","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5652406","url":null,"abstract":"The purpose of this paper is to provide an algorithmic overview of the interferometric processing embedded in the Integrated TanDEM-X Processor (ITP), settled to the generation of the raw digital elevation model (DEM). The main processing blocks are described, with a focus on the spectral matching of the azimuth spectra, the high-precision coregistration, the dual-baseline phase unwrapping and the geocoding of the products. The robustness of the algorithms is demonstrated through a dual-pass TerraSAR-X scenario.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"50 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114088876","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.2010.5653527
J. Takaku, T. Tadono
Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) carried at Advanced Land Observing Satellite (ALOS) was designed to generate worldwide topographic data in respects of its high resolution and stereoscopic land observation. Following accumulations of the on-orbit data since the launch, the characteristics of its sensor geometry and the capabilities to generate the Digital Surface Model (DSM) have been widely validated in Japan Aerospace Exploration Agency. This paper reports on the DSM processing status, over the four-year period of operations, including a mosaicking process and analysis of error characteristics. We especially focused on an occasional waving noise of the DSM caused by an attitude fluctuation of the satellite. Detailed analysis and correction methods on the waving noise are presented in this paper with inspection of satellite attitude data as well.
{"title":"High resolution dsm generation from alos prism - processing status and influence of attitude fluctuation -","authors":"J. Takaku, T. Tadono","doi":"10.1109/IGARSS.2010.5653527","DOIUrl":"https://doi.org/10.1109/IGARSS.2010.5653527","url":null,"abstract":"Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) carried at Advanced Land Observing Satellite (ALOS) was designed to generate worldwide topographic data in respects of its high resolution and stereoscopic land observation. Following accumulations of the on-orbit data since the launch, the characteristics of its sensor geometry and the capabilities to generate the Digital Surface Model (DSM) have been widely validated in Japan Aerospace Exploration Agency. This paper reports on the DSM processing status, over the four-year period of operations, including a mosaicking process and analysis of error characteristics. We especially focused on an occasional waving noise of the DSM caused by an attitude fluctuation of the satellite. Detailed analysis and correction methods on the waving noise are presented in this paper with inspection of satellite attitude data as well.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"27 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":"116274321","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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