零值測向性 的英文怎麼說
中文拼音 [língzhícèxiàngxìng]
零值測向性
英文
null detection-
This paper introduces the methods of hyperspectral images band selection based on the property of hyperspectral remote sensing images, utilizes the projection pursuit approach to find optimal solutions for a selected projection index based on dynamical evolutionary algorithm and then project a high dimensional data set into a low dimensional data space to produce a sequence of projection images, explores zero - detection method to threshold projection images to detect anomaly tar get
摘要運用基於波段間相關性的高光譜影像波段選取方法進行波段的預選取，採用投影尋蹤的方法在動力演化演算法的基礎上尋找最佳投影方向，將高維數據投影至低維數據空間，在各投影分量圖像上採用零點檢測閾值化的方法進行異常目標的提取。Due to the unique, stable and live physiological properties of the iris and non - invasive to users, most stable and reliable for identification in practical applications of iris - based system, iris recognition is receiving extensive attention and becoming an active topic in biometrics. as an application - oriented research project, iris recognition integrates mathematic, computer science, optics, electronics and physiology etc. based on wavelet transform, aimed to improve the recognition performance, centered at wavelet - based iris feature representation and pattern classification, we review and explore the iris sequence image quality assessment, iris image pre - processing, iris recognition performance evaluation and several other linked topics. we mainly investigate on the principles and application methodology of wavelet transform for iris feature representation and iris pattern classification methods
以小波變換技術為基礎，結合圖像處理和模式識別方法，設計並開發了虹膜圖像採集裝置，建立了虹膜識別演算法測試實驗平臺;重點研究了虹膜識別中的小波變換的應用基礎理論與關鍵實現技術;提出了基於小波局部模極大值的虹膜特徵表示及其多重匹配識別、基於小波多尺度信息的一維和二維虹膜紋理特徵量化表示、基於小波過零點技術的虹膜特徵表示及其規范化的部分hausdorff距離匹配識別，這三類方法能夠有效地提取虹膜特徵;基於自建的演算法測試平臺，對上述三類方法和其他三種國內外比較有影響的基於小波變換的虹膜識別方法進行了定量的性能比較和評價，通過實驗數據分析得到了有意義的結論;最後指出了小波變換技術在虹膜識別領域的研究重點與發展方向。Judging by the different magnitude and direction of the wavelet packet coefficient modular maximum, we can select the single phase - to - earth line. the method using wavelet singularity detection theory to extract the fault time is discussed. a fault distance measurement algorithm combining wavelet analysis used for separating the character from the transient fault signal with artificial neural networks used for the nonlinear approximation from the transient character to fault distance is presented
論文提出利用各個出線零序電流在頻帶上小波包系數模極大值的方向和大小的不同來實現故障選線，討論了利用小波分析的奇異性來判斷故障啟動時刻，提出將小波分析和人工神經網路結合，利用人工神經網路的非線性逼近能力，實現故障暫態量到故障距離的非線性映射，完成測距。
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