A methodology is presented for the real time, automated identification, structure analysis, tracking and short range forecasting of storms with Doppler weather radar volume scan data.
利用多普勒雷达体扫描资料对风暴进行实时地自动识别、跟踪、结构分析和临近预报。
Objective To evaluate the thin-slice high resolution ct scan and fast volume scan in the diagnosis of cranial basis and craniofacial bone fractures.
目的探讨薄层高分辨CT扫描和快速容积扫描在颅底颜面骨折中的价值。
Before storm to identify, the radar volume scan data will be pretreatment by mid-filtering, which can smooth data and filter out some clutter noise.
在进行风暴识别和水平风场反演之前，对雷达体扫描数据作了中值滤波预处理，平滑数据，滤除一些杂乱的数据点。
Conclusion Thin-slice high resolution ct scan and 3d images of volume scan are necessary imaging modalities for diagnosis of the cranial basis and craniofacial bone fractures.
结论薄层高分辨扫描及容积扫描3d图像是显示和诊断颅底等不规则骨骨折不可缺少及有效的方法。
Conclusion Thin-slice high resolution ct scan and 3d images of volume scan are necessary imaging modalities for diagnosis of the cranial basis and craniofacial bone fractures.
结论薄层高分辨扫描及容积扫描3d图像是显示和诊断颅底等不规则骨骨折不可缺少及有效的方法。
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