方差圖 的英文怎麼說
中文拼音 [fāngchātú]
方差圖
英文
variogram-
And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed
研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。Finally, this thesis discussed these following questions : first, the algorithm of used the error image for improving the purpose of the edge detection. secondly, we have transformed the solved question of the first and the second directional derivative to frequency domain and founded they have a single formulae in frequency domain. thirdly, we have described the singular signal and the noise by using the correlations of the neighbor data after wavelet transform
最後，在傳統的邊緣檢測演算法和小波分析的邊緣檢測演算法之外，對以下幾個方面也進行了一些討論： 1 ）利用誤差圖像來提高邊緣檢測效果的演算法； 2 ）將求解任意方向的一階、二階方向導數的問題轉換到頻域中去求解，發現在頻域中它們具有簡單易用的公式，使得原來求解任意方向的一階、二階導數的比較困難的問題變得容易實現了。Secondly, in the feature extraction stage, haar 2 - d wavelet transform is used in each band of the normalized image. the mean values and variances of the coefficients of 7 main wavelet channels are extracted as features
該演算法通過對歸一化處理后虹膜圖像的各個小分割區域進行二維小波變換，提取出主要小波通道的小波系數均值和方差作為特徵值。Firstly, the complex characteristics of the seal images caused in the process of producing conditions are analyzed. to solve these problems respectively, the circularity clusters and the ostu method are firstly used to realize the shape classification and threshold processing of different seal images. then the image denoise is performed well by scanning beam seed filling and labeling algorithm
論文中首先分析了印鑒圖像由於蓋印條件造成的圖像本身的一些復雜特點，提出了運用圓形度聚類和最大方差比演算法對圖像進行形狀分類和閾值處理，隨后利用掃描線種子填充演算法和貼刪標簽演算法進行噪聲的去除等預處理。( 5 ) method of bandwidth compression of holographic grating based on discrete spectrum and realization of a 1 / 8 bandwidth compression of holographic grating ( 6 ) holographic stereogram display that can be implemented using cgh and imaging process through capturing sequence parallax images based on result of computed basis fringe
採用空間頻率域的子采樣，計算了一個8倍的條紋函數壓縮編碼結果，並給出了簡單易行的解碼方式。 6 、利用獲得的基本條紋函數合成了一個基於序列視差圖像的立體圖顯示，實現了三維數據未知的物體的三維全息顯示。Application of infaraed image segmentation based on 2d maximum between - cluster variance and genetic algorithm
二維最大類間方差和遺傳演算法在紅外圖像分割中的應用At first, the paper confirms singular area by singular detection, then designs a series of low - pass filters that have different templates according to the different position in finger image for a local area, at last sets up gabor filter parameters according to the characteristics of fingerprint image. the improved enhancement algorithm has a better robust, and can preserve texture structure of singular area effectively. in binary noise clearance, the paper presents an algorithm that clears the biggish white speckles and black speckles
在指紋圖像增強方面，本文針對傳統的基於gabor濾波器指紋圖像增強演算法魯棒性差以及通常會改變奇異區紋理結構的缺點，對原有演算法進行了一些改進:首先通過檢測奇異點確定奇異區，然後根據局部區域在指紋圖像中的位置構建相應取值方式的低通濾波器並對該局部區域方向圖進行濾波，最後根據指紋圖像紋線的特點對gabor濾波器參數進行設置。And effects on improving original inversion image are clear by associated use of post treatments, variance truncating, median filtering and classification analysis
依據模型參數方差向量，本文提出了方差截斷后處理方法，並結合中值濾波和聚類分析，對原始反演圖像進行去噪后處理，成效明顯。( 5 ) parameterization of infrared satellite cloud imagery and its application in rainfall predication obvious correlation exist between the probability of rain and parameterization estimate such as average brightness temperature ( tb ), brightness temperature variance ( f ), equivalent cloudage ( cn ), brightness temperature area index ( al - the first a5 - the fifth grade, a6 - the sixth grade )
（ 5 ）衛星雲圖參數化及在降雨預測中的應用紅外衛星雲圖參數化估計值，與局地降雨過程的發生、發展具有較為密切的關系。相關較密切的參數有平均亮溫、亮溫方差、等效雲量、亮溫面積指數（ 1級、 5級、 6級） 。In the research of value domain segmentation of images, a modified variance algorithm, a subtraction segmentation algorithm and an improved pulse coupled neural networks segmentation algorithm are proposed. in order to successfully implement the space domain segmentation, this paper also develops an algorithm that can distinguish connexity between pixels and extract the feature parameters in one image scanning procedure
在圖像值域分割研究中，根據炸彈在雙能量x光圖像中的特性，提出了三種分割演算法：一種修正的最小類內方差分割演算法，一種雙能量x光圖像差減分割演算法，和一種改進的脈沖耦合神經網路圖像分割演算法。2. the radiant characteristics of the sar images are evaluated, which includes relative calibrations and absolute calibrations of the sar images, corrections of the antenna patterns, and ratio transforms and contrast adjustments of the sar images
2 . sar定標與其圖像輻射特性評價，包括圖像的內定標和外定標，以及以天線方向圖校正、比例變換和反差調整為內容的sar圖像的輻射校正和增強。In the course of measurement of workpiece face runout, variance method of the most species based on separability and image edges distilling based on morphology and marr filtering based on edges segmentation are used to enhance effectively accuracy of image segmentation and edges distilling. accuracy of measurement of face runout is enhanced effectually by use of least square method of compressing rectangle fitting edge of image and transforming of dft
該系統在工件端面跳動測量過程中，採用了基於可分性的最大類間方差法和形態學邊緣提取以及基於邊界分割的marr演算法，使圖像分割和邊緣提取的準確性得到了很大的提高；用壓縮矩形的最小二乘法擬合工件端面圖像的邊緣以及用dft變換對工件端面的跳動量進行測量，使端面跳動測量的準確性得到了很大的提高。Similarly, the paper also makes an analysis of the effect that the truncation error of finite scanning has upon the far - field pattern and then introduces the consequent method of compensation
隨後分析了掃描面截斷誤差對遠場方向圖的影響，並給出了相應的補償方法。Median filtering is chosen to modify the fuzzy edge by using the smoothing arithmetic, sobel operator is used to detect edge because of its filtering characteristic. image is changed from gray - scale to two - valued according to the threshold which is automaticly selected by otsu
選用中值濾波減小平滑演算法導致的邊緣模糊;利用有濾波特性的sobel運算元進行邊緣檢測;使用最大類間方差自動確定閾值，將灰度圖像轉化為二值圖像。In the first part of this article, the problem of heteroscedasticity is put forward. the serious effect is also stated. in the first section of the second part, several commonly cited testing methods are introduced, such as graph method, spearman rank correlation coefficients test, park test, glejser test and goldfeld - quandt test
在第二節中，首先綜述了各種文獻中給出的常用的檢驗異方差的方法，它們有圖示法、斯皮爾曼（ spearman ）的秩相關系數檢驗法、帕克（ park ）檢驗法、格萊舍爾（ glejser ）檢驗法、戈德菲爾德-匡特（ goldfeld - quandt ）檢驗法。By using ncep / ncar reanalysis data of height and wind, the inter - monthly lpac map, the climate lapc map, inter - annual anomaly map and mean variance map of monthly wind field of 850 and 500hpa and monthly height field of 850, 500, 150, 30hpa are calculated in a globe - belt area, which situates between 30 s and 75 n, from december 1957 to december 1997, according them we analysis the rule of the season transfer and anomaly of nh mean circulation. the results show that the climate map of lapc can describe the seasonal transfer process of large scale circulation better. the advance process of summer circulation establish is form south to north at the middle and lower level of the troposphere, that is reflected primly in the inter - monthly wind and pressure map of lapc ; at lower lever of stratosphere, the establish process is simulate to that of troposphere, and reflect of process of that the south asia high toward plateau ; at middle stratosphere the summer circulation establish begins at middle and high latitude initially, and then transmits to low latitude gradually, while the seasonal variability in mid - stratosphere is stronger than it in troposphere and low - stratosphere
利用ncep ncar再分析高度場和風場資料，計算了30 s 75 n球帶區域1957年12月至1997年12月逐月850 、 500hpa風場及850 、 500 、 150 、 30hpa高度場月際局地型相似系數圖、多年平均圖（即氣候lpac圖） 、年際異常圖及均方差圖，在此基礎上，分析了北半球平均環流季節轉換及其異常的規律。分析表明，氣候局地型相似系數圖較好地給出了大尺度環流季節轉換發生的過程：在對流層中、下部，風、壓場月際局地型相似系數圖清楚地反映了夏季型環流建立由南向北的推進過程；低平流層夏季型環流的建立與對流層接近，其中，南亞高壓上高原過程有明顯反映：中平流層，夏季型環流的建立明顯表現為從中、高緯度開始，逐步向低緯傳播的特徵，且變化較對流層和低平流層明顯。Average semi variogram
平均半方差圖During segmentation of the bridge image, this paper synthetically thinks over the advantages of self - adapted selection threshold and iterative selection threshold, and presents own self - adapted iterative selection threshold. what ' s more the variance of the infrared image is neatly applied to the visible image. at the time of beeline extraction, this paper mends hough transformation, and use novel method, which reasons the information gamed from the transformation field into the image field, to eliminate the inability to locate beeline of hough transformation
做橋梁識別，進行圖像分割的時候，本文結合了自適應閾值選擇演算法與迭代閾值選擇演算法的優點，提出了自適應迭代閾值選擇演算法，同時把紅外圖像中的方差圖引入到可見光圖像的處理中；在圖像中提取直線的時候，對hough變換進行了一些改進，同時針對其不能定位的缺點，使用了把變換域得到的信息反推到圖像域的方法，解決了這個問題。In spatial domain, according to the characteristics of hvs ( human visual system ), we introduce several approachs based on images " deviation, images " flatness measurement, fuzzy classification, and an approach based on difference matrix as well
在空間域內，利用人的視覺特性，我們提出了基於圖象方差、圖象平坦測度、模糊分類的隱藏演算法，同時提出了基於差值矩陣的信息隱藏。According to the feature of the human vision, we present the hiding methods based on image variance, image flatness measurement and fuzzy classification, respectively. and the techniques based on relationship between pixels, difference matrix and cryptography are also given. two hiding methods, backup hiding and camouflage hiding, are proposed too
在空間域內，利用人的視覺特性，本文提出了基於圖象方差、圖象平坦測度和基於模糊分類的隱藏演算法，同時提出了基於關系、基於差值矩陣和基於密碼演算法的隱藏方法，並提出了備份隱藏和偽裝隱藏兩種隱藏方案。分享友人