累積方差圖 的英文怎麼說

中文拼音 [lěijīfāngchātú]
累積方差圖 英文
accumulation variogram
  • 累 : 累Ⅰ形容詞（疲勞） tired; fatigued; weary Ⅱ動詞1. （使疲勞; 使勞累） tire out; wear out 2. （操勞） work hard; toil
  • 積 : Ⅰ動詞（積累） amass; store up; accumulate Ⅱ形容詞（長時間積累下來的） long standing; long pending...
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 累積 : accumulate累積服刑 [法] accumulative sentence; 累積股本 cumulative capital stock; 累積股息 cumula...
  • 方差圖 : variogram
  1. In this paper, the main research works are as follows : 1 ) survey and analysis previous work in auv navigation and summarize : as the cumulate error, the dead - reckoning and inertial navigation systems ca n ' t be used without other modified system ; the acoustic navigation system is used only in small range, and is very expensive. 2 ) two important approaches in geophysical navigation techniques are summarized, one is terrain contour based navigation, this approach is investigated keystone today ; the other is image based navigation, due to no perfect image sensors and image seabed map, this approach has seldom been practised. 3 ) two important terrain contour based navigation algorithms has been applied to auv, one is match algorithm - based terrain contour match ( tercom ) ; the other is kalman filter - based sandia inertia terrain - aided navigation ( sitan )

    主要研究內容包括：一、總結分析了當前水下導航的常用方法和不足之處，指出基於航位推算的導航方法，存在著最大的問題就是導航誤差的積累問題，如果沒有修正系統，這種方法很難滿足使用要求；其次指出基於聲學的導航方法，造價昂貴，導航范圍有限，難以滿足自主水下航行器大范圍導航的需求；二、總結了當前水下地形輔助導航的主要技術路線，一是基於地形高程的匹配方法，這是當前研究的重點；二是基於地形圖像的匹配方法，由於缺乏良好的圖像傳感器，和可用的海底圖像地圖，目前這種方法還有待研究發展；三、將兩種地形高程匹配的常用方法應用到自主水下航行器上：以相關演算法為前提的地形輪廓匹配（ tercom ）方法和以卡爾曼濾波為基礎的桑迪亞慣性地形輔助導航（ sitan ）方法，前者演算法簡單可靠，但是導航精度不高，後者雖然精度比較高，但存在著演算法較為復雜、有可能發散和出現奇異值等問題。
  2. The paper includes four sections followed here : the first section studies the modeling of signals of pulse doppler radar seeker, and establishes a radar signal simulation model, including radar emitting signal model, receiving signal model, receiving echo signal model, clutter model, noise model, sum channel directional pattern of antenna model, difference channel directional pattern of antenna model, sheltering model, rcs model, glint noise model, etc. the second section studies signal processing of pulse doppler radar seeker, and establishes radar signal processing mathematical model and data processing mathematical model for simulation, including windowing, doppler filtering, envelope demodulation, pdi, cfar, centering, velocity tracking, angle tracking, a - b filtering, etc. the third section studies the modeling of modified proportion guiding, and establishes guiding model, then dynamic simulation results is provided

    論文的主要工作包括四部分：第一部分研究了脈沖多普勒雷達導引頭的信號建模問題，建立了雷達信號模型，主要包括：發射信號模型、接收信號模型、目標回波信號模型、雜波模型、噪聲模型、和差通道天線方向圖模型、遮擋因子模型、接收機噪聲模型、目標雷達截面積統計性模型、目標角閃爍模型等。第二部分研究了脈沖多普勒雷達導引頭的信號處理模式，建立了信號和數據處理模型，主要包括：加窗和多普勒濾波、包絡檢波、檢波后積累、頻域cfar處理、速度定心、速度跟蹤、角跟蹤、 ?濾波等，然後給出了信號處理流程。
  3. At the meantime, during the procedure of pre - processing, according to the character that the illumination conditions on the scene of the expressway toll collection frequently change a lot, the algorithm of first difference combining the method of fixing the threshold of binarization via accumulating the points was used to complete the job of extracting the outline of the image

    在圖像預處理過程中，根據高速公路收費站點光照條件不斷變化的特點，採用一階差分演算法並結合累積像素點確定二值化閾值的方法，完成圖像邊緣輪廓的提取工作。
  4. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  5. The main contributions of this dissertation are : a novel detection strategy in blind image watermarking algorithm generally, the traditional detection strategy corresponding to embedment model i = i + aw has its limitation. first, we treat the watermark information as noise for an image and expand the noise before detection. then, we find the corresponding data in the frequency - domain and adjust them according to our relative minmum principle

    為了解決這一問題，我們將嵌入水印圖像中的水印信息看作一種噪聲，在提取水印前，利用降噪方法得到原始圖像的一個逼近，通過和待檢測圖像的比較，得到含有水印信息的噪聲，再將這種噪聲信息進行放大，最後利用局部最大的編碼原則將水印恢復出來；將改進的水印提取模型應用於基於fourier - mellin變換的盲水印演算法，解決了由於插值和多變換造成誤差積累而造成很難提取水印這一問題。
  6. Panoramic mosaics method based on 8 - paramter planar homography usually has to overcome the accumulated errors, when a sequence images loops back on itself

    基於8參數平面單應矩陣的全景拼圖方法，當圖象序列形成迴路的時候，必須要克服累積誤差，以保證全景圖首尾相接。
  7. Conventional algorithms are mainly based on histogram including cumulative difference histogram ( cdif ) and sequential difference histogram ( sdif )

    現有的重頻分選演算法有累積差值直方圖法（ cdif ）和序列差值直方圖法（ sdif ） 。
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