線跡類型 的英文怎麼說

中文拼音 [xiànjīlèixíng]
線跡類型 英文
stitch sypes
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 跡 : 名詞1 （留下的印子; 痕跡） mark; trace 2 （前人遺留的建築或器物等） remains; ruins; vestige 3 （...
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 類型 : type; mold; form; cut類型論 theory of types; 類型語句 [計算機] type statements
  1. The state - of - the - art of the study of ship and ship wake detection is summarized. the target types of the ship and its wake in different resolution sar images are analyzed and a conclusion is draw. the issue of ship target detection to the low or middle resolution sar image is point target detection while the issue to the high - resolution sar image is hard target detection

    本文在文獻綜述的基礎上，全面分析了sar圖像艦船目標及其尾跡檢測的研究現狀，通過應用sar圖像理解的基本理論，分析了不同解析度圖像中艦船目標及其尾跡的類型，並得出結論：中低解析度sar圖像中的艦船目標檢測是點目標檢測；高解析度sar圖像中的艦船目標檢測是硬目標檢測； sar圖像艦船尾跡檢測是線性目標檢測。
  2. 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。
  3. As a result, we are not only unable to obtain the optimal prediction in general cases but incapable of finding the necessary and sufficient conditions as well. considering linear and o - linear predictable variables, the author investigates optimal prediction problems by the trace of matrix. a few necessary conditions are derived and accordingly optimal linear and optimal o - linear unbiased predictors, which are unique with probabitity one, are obtained respectively by the author

    對於一類線性可預測變量和-線性可預測變量，作者在矩陣跡意義下研究了一般增長曲線模型中最優預測問題，找到了其存在最優預測的幾個必要條件，並在給定的條件下分別得到了最優線性無偏預測和最優-線性無偏預測，而且還證明了它們在幾乎處處意義下的唯一性
  4. Abstract : iterative learning control is an effective approach to the control of processes that are repetitive in nature. in this paper, an open - closed - loop pi - type iterative learning control scheme for the precise tracking control of a class of discrete nonlinear time - varying systems over a finite time interval is presented. the scheme updates control input with tracking errors of both current and last iterations simultaneously. sufficient and necessary conditions which guarantee the convergence of the scheme are given and then proved with inductive method. finally, the conditions are verified with simulation results

    文摘:對于具有重復運動性質的對象，迭代學習控制是一種有效的控制方法.針對一類離散非線性時變系統在有限時域上的精確軌跡跟蹤問題，提出了一種開閉環pi型迭代學習控制律.這種迭代律同時利用系統當前的跟蹤誤差和前次迭代控制的跟蹤誤差修正控製作用.給出了所提出的學習控制律收斂的充分必要條件，並採用歸納法進行了證明.最後用模擬結果對收斂條件進行了驗證
  5. A pattern matching model for mechanism path synthesis is presented, and some key techniques related to its implementation such as digital description of mechanism path, clustering and classification of path curves as well as the path pattern matching are discussed in detail

    據此給出了機構軌跡綜合的模式匹配模型，深入討論了其實現步驟中涉及到的若干關鍵技術，如機構軌跡的數字化描述、軌跡曲線的聚類與分類、軌跡模式匹配等。
  6. This paper is concerned with the popular texture analysis technique in the traditional image recognition, the novel pattern recognition approach, namely synergetic neural network pattern recognition, and their applications. furthermore, it proposes and implements an offline handwriting identification multi - classifier. it is organized as follows

    本論文研究了傳統圖像識別方法中常用的紋理分析法及一種新的模式識別方法? ?協同神經網路模式識別法及其應用，並在此基礎上構造了一個離線手寫體筆跡鑒別多分類器模型。
  7. The system is installed on the axis of the locomotive ' s wheel. it inspects the track irregularity in a real - time, dynamic and photoelectric way. by measuring the track of the wheel running, the system can provide the type, depth, length, level and the location of the track irregularhy, so that it bring a positive effect on the check and maintain of the track, and it can monitor and control of the security of raflway traffic

    該裝置直接安裝機車輪軸上，是一種實時、動態的光電檢測方式，通過直接測量輪軸運行軌跡曲線的方式，定量給出軌道病害的類型、深度、長度、級別和位置等信息，能夠對工務現場線路檢查、維修、保養、行車安全監控等工作起到積極的指導作用。
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