slow extraction 中文意思是什麼
slow extraction
解釋
慢引出- slow : adj 1 慢的，緩慢的 （opp fast; quick; rapid; swift）。2 遲鈍的，笨的；沒精神的，不活潑的；（表演...
- extraction : n. 1. 抽出，拔出。2. 【化學】提取（法）；萃取（法）；回收物，提出物；精煉。3. 精選，摘要。4. 血統，家世，出身。5. 【數學】開方，求根。
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Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis
此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。 -
Afterwards, in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction, an improved sfim image fusion method is proposed. this modified algorithm is on the base of sfim fusion technique, combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter. compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images, it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images
論文的主要工作和成果包括：在像素層，論文研究了多傳感器數據融合理論及遙感圖像預處理的過程和步驟，歸納了多源遙感圖像像素層融合的常用演算法，並針對目前遙感數據呈海量化、復雜化這一發展趨勢同遙感信息提取的能力和效率滯后這一矛盾，在sfim演算法的基礎上，將ihs變換與sfim相結合，將原演算法中的均值濾波器改進為自適應加權均值濾波器，提出了一種改進的sfim演算法，通過對一組多光譜圖像和全色圖像的雙傳感器融合模擬對比試驗，證明了該演算法在保持原多光譜圖像光譜信息的同時，能夠有效提高融合圖像的空間分辨能力。
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