cloud drift 中文意思是什麼
cloud drift
解釋
浮雲，飛雲。-
As i looked up at them, the moon appeared momentarily in that part of the sky which filled their fissure ; her disk was blood - red and half overcast ; she seemed to throw on me one bewildered, dreary glance, and buried herself again instantly in the deep drift of cloud
我抬頭仰望樹干，只見月亮瞬間出現在樹乾裂縫中的那一小片天空，血紅的月輪被遮去了一半。她似乎向我投來困惑憂郁的一瞥，隨后又躲進了厚厚的雲層。 -
The weather system on july 5th 08bst depicted by the cloud - drift winds could be distinctively seen an anticyclone with divergence in the north and convergence in the south which was much helpful in rationally explaining the real weather process combined with some traditional methods
由它所表示的2003年7月5日07 ? 08時的高空風場上，可以清楚地看到一個北邊輻散，南邊輻合的反氣旋環流，這些細節有效地幫助了常規方法，使其對天氣過程做出合理的診斷分析。 -
’ he asked : ‘ where it ' s all blue and dim, and one sees what may be hills or perhaps they mayn ' t, and something like the smoke of towns, or is it only cloud - drift
他問， 「就是那個藍藍的、模模糊糊的地方，也許是山，也許不是山，有點像城市裡的炊煙，或者只是飄動的浮雲？ 」 -
In this paper we studied the textural features extraction, remote sensing images classification and bp neural network techniques and their applications in the meteorological problems such as recognition of the cloud cluster feature, cloud - drift wind retrieval and heavy rain process analysis etc. to the question of the low precise recognition of satellite images by using spectral features, the proposed approach assumes to perform a multiple analysis based on an advisable decision - making model by first developing a mixed pixel model which was based on the textural features of images, and then improving the recognition intelligence
本文對模式識別領域中的圖像紋理特徵提取、遙感圖像分類、 bp神經網路與紋理特徵組合分類等方法，以及它們在雲團屬性識別、雲跡風反演和暴雨過程分析等氣象問題中的應用作了研究。針對過去利用圖像光譜亮度特徵進行識別分析氣象衛星圖像準確度不高的問題，本文提出了發展混合像元的分解模型，以圖像的紋理特徵為基礎，提高圖像識別的智能水平，以實現在分析決策模型的支持下，快速準確的復合分析的解決方案。 -
By examining on the rainstorm process happened during the period of july 4th - 5, 2003, the rationality of using textural feature as the whole decision - making model ' s foundation was successfully testified. furthermore, the improved cloud - drift wind retrieval t echnique which based on this decision - making model also showed a remarkable performance in analyzing a meso - scale weather system
通過對2003年7月4 ? 5日暴雨過程的試驗分析發現，使用紋理特徵作為整個分析決策模型的基礎是十分合理的，另外改進的基於紋理分類的雲跡風反演技術，由於精度的提高，使診斷水平有了很大的改善。
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