The expert knowledge has been widely used to improve the remotely sensed classification accuracy. Generally, the ex-pert classification system mainly depends on DEM and some thematic maps. The spatial relationship inf...The expert knowledge has been widely used to improve the remotely sensed classification accuracy. Generally, the ex-pert classification system mainly depends on DEM and some thematic maps. The spatial relationship information in pixel level was commonly introduced into the expert classification. Because the geographic objects were found spatially dependent relationship to a certain degree, the commonly used basic unit of spatial relationship information in pixel greatly limited the efficiency of spatial in-formation. A patch-based neighborhood searching algorithm was proposed to implement the expert classification. The homogene-ous spectral unit, patch, was used as the basic unit in the spatial object granularity, and different types of patches' relationship in-formation were obtained through a spatial neighborhood searching algorithm. And then the neighborhood information and DEM data were added into the expert classification system and used to modify the primitive classification errors. In this case, the classi-fication accuracies of wetland, grassland and cropland were obviously improved. In this work, water was used as base object, and different types of water extraction methods were tested to get a result in a high accuracy.展开更多
In the framework of the left-right twin Higgs （LRTH） model, we study the possibilities to detect the new Z＇ boson at the Tevatron and LHC. First, using pp collision data collected by the DO and CDF II detectors, we...In the framework of the left-right twin Higgs （LRTH） model, we study the possibilities to detect the new Z＇ boson at the Tevatron and LHC. First, using pp collision data collected by the DO and CDF II detectors, we find that the LRTH Z＇ boson is excluded with masses below 940 GeV. Then we search for signatures of the Z＇ boson at the LHC from the analysis of some distributions for pp --＊ It＋g- ＋ X, such as the number of events, the differential cross section of the dimuon invariant mass, the distributions of the transverse momentum and the forward-backward charge asymmetry. We do our calculation for two typical values of the LHC center of mass energy （7 and 14 TeV）. The numerical results show that, by applying convenient cuts on some of the observables, the dimuon invariant mass and final particle PT distributions can reveal the presence of the heavy neutral gauge boson Z＇ contribution in the LRTH model.展开更多
基金Supported by the National 973 Program of China (No. 2006CB701300)the Program for Cheung Kong Scholars and Innovative Re-search Team in University (No. IRT0438)+1 种基金the China/Ireland Science and Technology Collaboration Research Fund(ICT,2006/2007)the Opening Foundation of LED, South China Sea Institute of Oceanography, Chinese Academy of Sciences.
文摘The expert knowledge has been widely used to improve the remotely sensed classification accuracy. Generally, the ex-pert classification system mainly depends on DEM and some thematic maps. The spatial relationship information in pixel level was commonly introduced into the expert classification. Because the geographic objects were found spatially dependent relationship to a certain degree, the commonly used basic unit of spatial relationship information in pixel greatly limited the efficiency of spatial in-formation. A patch-based neighborhood searching algorithm was proposed to implement the expert classification. The homogene-ous spectral unit, patch, was used as the basic unit in the spatial object granularity, and different types of patches' relationship in-formation were obtained through a spatial neighborhood searching algorithm. And then the neighborhood information and DEM data were added into the expert classification system and used to modify the primitive classification errors. In this case, the classi-fication accuracies of wetland, grassland and cropland were obviously improved. In this work, water was used as base object, and different types of water extraction methods were tested to get a result in a high accuracy.
基金supported by the National Natural Science Foundation of China(Grant No.11147193)
文摘In the framework of the left-right twin Higgs （LRTH） model, we study the possibilities to detect the new Z＇ boson at the Tevatron and LHC. First, using pp collision data collected by the DO and CDF II detectors, we find that the LRTH Z＇ boson is excluded with masses below 940 GeV. Then we search for signatures of the Z＇ boson at the LHC from the analysis of some distributions for pp --＊ It＋g- ＋ X, such as the number of events, the differential cross section of the dimuon invariant mass, the distributions of the transverse momentum and the forward-backward charge asymmetry. We do our calculation for two typical values of the LHC center of mass energy （7 and 14 TeV）. The numerical results show that, by applying convenient cuts on some of the observables, the dimuon invariant mass and final particle PT distributions can reveal the presence of the heavy neutral gauge boson Z＇ contribution in the LRTH model.
