为快速、准确地在遥感图像上提取各种农作物类型信息,满足国家农情遥感监测系统的要求,以2002年北京地区主要秋季作物提取为例,利用T erra/M OD IS数据,采用波谱分析的方法,建立一种基于遥感影像全覆盖的秋季作物类型自动提取方法,实现...为快速、准确地在遥感图像上提取各种农作物类型信息,满足国家农情遥感监测系统的要求,以2002年北京地区主要秋季作物提取为例,利用T erra/M OD IS数据,采用波谱分析的方法,建立一种基于遥感影像全覆盖的秋季作物类型自动提取方法,实现主要秋季作物遥感自动识别。首先根据研究区秋季作物的波谱特性和生物学特性,选取了红波段、蓝波段、近红外波段和中短波红外波段作为秋季作物类型提取的工作波段;同时,还利用由这4个波段构建的陆表水分指数和增强型指标指数作为遥感特征参量。其次根据研究区农作物物候历特征,提取了2002年4月到9月共7个时相的M OD IS数据。最后,采用分层决策树方法提取研究区主要秋季作物类型,并进行面积统计。为了验证其精度,与国家农业部农业统计数据进行比较,结果其精度达到86%以上。这表明,仅利用M OD IS自身光谱信息,即可较为准确地提取秋季作物类型信息,精度基本能满足了大尺度农情遥感监测的要求,可以为农业决策部门提供信息服务。展开更多
Typical existing methods of tunnel geological prediction include negative apparent velocity, horizontal seismic profile, and the Tunnel Seismic Prediction （TSP） method as this technology is under development at home...Typical existing methods of tunnel geological prediction include negative apparent velocity, horizontal seismic profile, and the Tunnel Seismic Prediction （TSP） method as this technology is under development at home and abroad. Considering simpler observational methods and data processing, it is hard to accurately determine the seismic velocity of the wall rock in the front of the tunnel face. Therefore, applying these defective methods may result in inaccurate geological inferences which will not provide sufficient evidence for classifying the wall rock characteristics. This paper proposes the Tunnel Seismic Tomography （TST） method using a spatial observation arrangement and migration and travel time inversion image processing to solve the problem of analyzing the velocity structure of wall rock in the front of the tunnel face and realize accurate imaging of the geological framework of the tunnel wall rock. This method is very appropriate for geological prediction under complex geological conditions.展开更多
Background:The optimal time to save a person who has had a sudden cardiac arrest is within the first few minutes of the incident.Early compression and early defibrillation should be performed at this time.Timeliness i...Background:The optimal time to save a person who has had a sudden cardiac arrest is within the first few minutes of the incident.Early compression and early defibrillation should be performed at this time.Timeliness is the key to successful CPR; as such,Prof.He proposed the 'platinum 10 min' system to study early CPR issues.This paper systematically evaluates the success rates of heartbeat restoration within the 'platinum 10min' among patients suffering from sudden cardiac arrest.Methods:The clinical data of outpatients suffering from a cardiac arrest were retrieved from the China Knowledge Network(January 1975-January 2015),the Chongqing VIP database(January 1989-January 2015),and the Wanfang database(January 1990-January 2015).The success of the cardiopulmonary resuscitation(CPR) performed at different times after the patients had cardiac arrests was analyzed.Two researchers screened the literature and extracted the data independently.A meta-analysis was conducted using Stata 12.0.A total of 57 papers met the inclusion criteria,including 29,269 patients.Of these patients,1,776 had their heartbeats successfully restored.The results showed high heterogeneity(χ~2=3428.85,P<0.01,I2=98.4%).The meta-analysis was conducted using a random-effects model.The combined effect size was 0.171(0.144-0.199).Results:1) The success rate of heartbeat restoration did not differ among the four emergency treatment methods that patients received:the methods described in the 2000 Guidelines for CPR and Emergency Cardiovascular Care,that described in the 2005 version,2010 version,and another CPR method.2) The patients were divided into five groups based on the time when CPR was performed:the ?1min group,the 1-5min group,the 5-10 min group,the 10-15 min group and the >15min group.The CPR success rates of these five groups were 0.247(0.15-0.344),0.353(0.250-0.456),0.136(0.109-0.163),0.058(0.041-0.075),and 0.011(0.004-0.019),respectively.The CPR success rates did not differ between the patients in the ?1min group and the 1-5min group.Thi展开更多
This paper considers the problem of geolocating a target on the Earth surface whose altitude is known previously using the target signal time difference of arrival （TDOA） and frequency difference of arrival （FDOA）...This paper considers the problem of geolocating a target on the Earth surface whose altitude is known previously using the target signal time difference of arrival （TDOA） and frequency difference of arrival （FDOA） measurements obtained at satellites. The number of satellites available for the geolocation task is more than sufficient and their locations are subject to random errors. This paper derives the constrained Cramor-Rao lower bound （CCRLB） of the target position, and on the basis of the CCRLB analysis, an approximately efficient constrained maximum likelihood estimator （CMLE） for geolocating the target is established. A new iterative algorithm for solving the CMLE is then proposed, where the updated target position estimate is shown to be the globally optimal solution to a generalized trust region sub-problem （GTRS） which can be found via a simple bisection search. First-order mean square error （MSE） analysis is conducted to quantify the performance degradation when the known target altitude is assumed to be precise but indeed has an unknown but deterministic error. Computer simulations are used to compare the performance of the proposed iterative geolocation technique with those of two benchmark algorithms. They verify the approximate efficiency of the proposed algorithm and the validity of the MSE analysis.展开更多
文摘为快速、准确地在遥感图像上提取各种农作物类型信息,满足国家农情遥感监测系统的要求,以2002年北京地区主要秋季作物提取为例,利用T erra/M OD IS数据,采用波谱分析的方法,建立一种基于遥感影像全覆盖的秋季作物类型自动提取方法,实现主要秋季作物遥感自动识别。首先根据研究区秋季作物的波谱特性和生物学特性,选取了红波段、蓝波段、近红外波段和中短波红外波段作为秋季作物类型提取的工作波段;同时,还利用由这4个波段构建的陆表水分指数和增强型指标指数作为遥感特征参量。其次根据研究区农作物物候历特征,提取了2002年4月到9月共7个时相的M OD IS数据。最后,采用分层决策树方法提取研究区主要秋季作物类型,并进行面积统计。为了验证其精度,与国家农业部农业统计数据进行比较,结果其精度达到86%以上。这表明,仅利用M OD IS自身光谱信息,即可较为准确地提取秋季作物类型信息,精度基本能满足了大尺度农情遥感监测的要求,可以为农业决策部门提供信息服务。
文摘Typical existing methods of tunnel geological prediction include negative apparent velocity, horizontal seismic profile, and the Tunnel Seismic Prediction （TSP） method as this technology is under development at home and abroad. Considering simpler observational methods and data processing, it is hard to accurately determine the seismic velocity of the wall rock in the front of the tunnel face. Therefore, applying these defective methods may result in inaccurate geological inferences which will not provide sufficient evidence for classifying the wall rock characteristics. This paper proposes the Tunnel Seismic Tomography （TST） method using a spatial observation arrangement and migration and travel time inversion image processing to solve the problem of analyzing the velocity structure of wall rock in the front of the tunnel face and realize accurate imaging of the geological framework of the tunnel wall rock. This method is very appropriate for geological prediction under complex geological conditions.
文摘Background:The optimal time to save a person who has had a sudden cardiac arrest is within the first few minutes of the incident.Early compression and early defibrillation should be performed at this time.Timeliness is the key to successful CPR; as such,Prof.He proposed the 'platinum 10 min' system to study early CPR issues.This paper systematically evaluates the success rates of heartbeat restoration within the 'platinum 10min' among patients suffering from sudden cardiac arrest.Methods:The clinical data of outpatients suffering from a cardiac arrest were retrieved from the China Knowledge Network(January 1975-January 2015),the Chongqing VIP database(January 1989-January 2015),and the Wanfang database(January 1990-January 2015).The success of the cardiopulmonary resuscitation(CPR) performed at different times after the patients had cardiac arrests was analyzed.Two researchers screened the literature and extracted the data independently.A meta-analysis was conducted using Stata 12.0.A total of 57 papers met the inclusion criteria,including 29,269 patients.Of these patients,1,776 had their heartbeats successfully restored.The results showed high heterogeneity(χ~2=3428.85,P<0.01,I2=98.4%).The meta-analysis was conducted using a random-effects model.The combined effect size was 0.171(0.144-0.199).Results:1) The success rate of heartbeat restoration did not differ among the four emergency treatment methods that patients received:the methods described in the 2000 Guidelines for CPR and Emergency Cardiovascular Care,that described in the 2005 version,2010 version,and another CPR method.2) The patients were divided into five groups based on the time when CPR was performed:the ?1min group,the 1-5min group,the 5-10 min group,the 10-15 min group and the >15min group.The CPR success rates of these five groups were 0.247(0.15-0.344),0.353(0.250-0.456),0.136(0.109-0.163),0.058(0.041-0.075),and 0.011(0.004-0.019),respectively.The CPR success rates did not differ between the patients in the ?1min group and the 1-5min group.Thi
基金co-supported by the National Natural Science Foundation of China (Nos. 61304264 and 61305017)the Innovation Foundation of Industry, Education and Research of Jiangsu Province (No. BY2014023-25)
文摘This paper considers the problem of geolocating a target on the Earth surface whose altitude is known previously using the target signal time difference of arrival （TDOA） and frequency difference of arrival （FDOA） measurements obtained at satellites. The number of satellites available for the geolocation task is more than sufficient and their locations are subject to random errors. This paper derives the constrained Cramor-Rao lower bound （CCRLB） of the target position, and on the basis of the CCRLB analysis, an approximately efficient constrained maximum likelihood estimator （CMLE） for geolocating the target is established. A new iterative algorithm for solving the CMLE is then proposed, where the updated target position estimate is shown to be the globally optimal solution to a generalized trust region sub-problem （GTRS） which can be found via a simple bisection search. First-order mean square error （MSE） analysis is conducted to quantify the performance degradation when the known target altitude is assumed to be precise but indeed has an unknown but deterministic error. Computer simulations are used to compare the performance of the proposed iterative geolocation technique with those of two benchmark algorithms. They verify the approximate efficiency of the proposed algorithm and the validity of the MSE analysis.
