空中目標識別 的英文怎麼說
中文拼音 [kōngzhōngmùbiāozhìbié]
空中目標識別
英文
aerial identification- 空 : 空Ⅰ形容詞(不包含什麼; 裏面沒有東西或沒有內容; 不切實際的) empty; hollow; void Ⅱ名詞1 (天空) s...
- 目 : Ⅰ名詞1 (眼睛) eye 2 (大項中再分的小項) item 3 [生物學] (把同一綱的生物按彼此相似的特徵分為幾...
- 標 : Ⅰ名詞1 [書面語] (樹梢) treetop; the tip of a tree2 (枝節或表面) symptom; outside appearance; ...
- 識 : 識Ⅰ動詞[書面語] (記) remember; commit to memory Ⅱ名詞1. [書面語] (記號) mark; sign 2. (姓氏) a surname
- 別 : 別動詞[方言] (改變) change (sb. 's opinion)
- 空中 : in the sky; in the air; aerial; overhead; midair
- 目標 : 1. (對象) target; objective 2. (目的) goal; aim; destination
- 識別 : 1 (辯別; 辯認) discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
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During battle, forward observers identify targets and direct artillery, mortar and aviation fire
在戰爭中,前鋒探測隊員識別各種目標,並指導炮兵部隊、發射器與空軍部隊的開火。Application of self - organization network to air - target recognition
自組織神經網路在空中目標識別中的應用Now a method is suggested which uses a passive remote sensing equipment - microwave radiometer for detection and identification of air object
文中提出了微波輻射計去探測和識別空中目標的方法。The target detection technology is extensive used in the realm of aerial - objects identification, ground - objects identification and detection of industrial product
目標的識別和檢測技術在工業產品檢測、空中目標識別、地面目標識別等領域有廣泛的應用。Each is served with a specifically optimized communication layer implementation ; 5 ) a multi - agent system abstraction model, as a powerful tool for integrating modules from different domains. context aware computing is the effort for computer systems to sense and leverage the rich context information in the physical space
智能空間中的覺察上下文計算使得計算系統可以主動的識別和利用物理空間中的上下文,為實現計算的透明性目標提供了一種現實可行的途徑。The induction of ais technology still ca n ' t integrated with the devices of old system satisfactorily, the data of ais is only shown on the electronic chart background in ecdis, but does n ' t fulfill the fusion with the data of radar. more, some system functions related with display and interface still need be perfected, such as quickly moving, auto select chart, static information associate with target display, etc. the integrated information processing and display system researched in this thesis has been successfully applied in some vts projects and related projects, such as cheng - dao oil field survey system, yan - tai mount vts rebuild project etc. to the disadvantage exposed to us in national and foreign vts system, and those putted up in application projects, the thesis did a farther study and consummation, and acquired some research fruits, as follows : 1. fulfilled the eagle eye function in electronic chart display system
針對目前國內外vts系統中暴露出的薄弱點,以及應用實踐中表現出的不足本文對綜合信息處理與顯示系統做了進一步的研究和完善,取得了以下的研究成果: 1 、電子海圖顯示系統中鷹眼圖的功能設置與實現; 2 、設計一種簡易的選圖演算法,通過該演算法實現可在海圖放大、縮小時的自動選圖; 3 、電子海圖上自動錄取區的實現(二次自動錄取) ; 4 、實現對雷達和ais目標數據及其誤差的軟體模擬; 5 、船舶自動識別系統中動態信息與雷達動態信息的數據融合處理; 6 、利用數據融合技術解決雷達目標跟蹤方面的問題; 7 、海圖空間信息中顯示區域裁減演算法的設計,該模塊的實現大幅度提高了海圖的顯示速度。The rough degree of the target surface is the important factor that influences the scattering characteristic of the target laser. the study of the rough surface scattering is very important to the identifies and characteristic distill of the space target. usually on the study of in the past rough surface scattering, the period function or random function are the mathematics model of the rough surfaces
粗糙表面散射的研究對空間目標識別和特性提取具有非常重要的意義,在過去的粗糙表面散射研究中,通常採用特定的已知周期函數或隨機函數作為粗糙表面的數學模型,但在自然界中粗糙面既非純周期也非完全隨機的。The far - distance targets can be detected with the aid of the satellite image and the ample respond time of the defensive system can be provided ; the cryptic cruise missile and anti - radiation cruise missile can be effectively detected and tracked recur to the infrared image. radar is widely used in the cruise missile defensive system. the radar in the sky can detect the further flying cruise missile, ground based radar and coastal defense radar can track and help weapons system aim at the oncoming force cruise missile
在目前情況下,衛星圖像、紅外圖像以及雷達成像在探測、跟蹤、識別、打擊巡航導彈目標方面具有相當大的優勢,藉助于衛星圖像可以在遠距離發現目標,能夠為防禦系統提供比較充足的響應時間;藉助于紅外圖像可以有效對付隱身巡航導彈和反輻射巡航導彈;雷達是在巡航導彈防禦系統中使用最多的設備,空基雷達能夠探測離防區比較遠的巡航導彈,陸基雷達和海基雷達能夠跟蹤巡航導彈,並可協助武器系統瞄準來襲巡航導彈,尤其是雷達陣在巡航導彈防禦中更是可以發揮重要作用。Through training the target and non - target samples, support vector machines method can set up an effective recognition model, which can detect all possible interested man - made targets through scanning all areas in images
通過對航空影像中的軍事目標和自然背景兩類樣本進行學習,支持向量機檢側方法建立了針對目標和非目標有效區分的識別模型,該模型能夠對航空影像中所有的區域進行快速的檢測和識別,檢側到所有感興趣的人造軍事目標。In the appliance of object identify and scene analysis, we need comprehend the geometry structure relationship. if camera is not calibration how to use the scene ' s information and vanishing points to accomplish it. then we give two algorithms and introduce the range of apply
在目標識別和場景分析的應用中,我們經常需要了解場景中的空間幾何結構關系,如何在攝像機未事先標定的情況下,利用場景中的有關信息,結合圖像中的消失點,獲得場景中相關幾何信息。The integrated airborne passive countermeasure system is divided into two parts the countermeasure control system and simulator. the countermeasure control system belongs to a certain key avionic integration whose main function is using photoelectric jamming to the opponent system to reduce the target discernment of the opponent system in order to avoid the opponent menace, to enhance the capability of existence and fighting
對抗控制系統是某重點型號航空電子綜合系統中的一個分系統,該系統的主要功能是在我機受到敵武器系統威脅時,對敵武器系統實施光/電干擾,降低敵武器系統目標識別能力,使我機脫離敵武器系統的威脅,進而提高我機生存及作戰能力。X - band ground based radar ( gbr ) plays an important role in national missile defense ( nmd ) system, it has many important functions such as middle stage surveillance and interception, trajectory prediction, target identifying and classifying. it has important significance to analyze and study gbr system, not only for ballistic missile ’ attack and defense research, but also for our national space surveillance and ballistic missile defense system development
X波段地基雷達( gbr )是美國國家導彈防禦系統中段防禦和攔截系統中最主要和最有效的目標精確跟蹤和識別傳感器之一,它負責中段監視和截獲、預測彈道和實測彈道的精度、識別和目標分類等重要功能,對gbr的系統分析和模擬研究,探究其工作機理和識別手段,不但對于研究彈道導彈的有效突防措施和攻防對抗有著重要意義,對于發展我國自己的空間監測和彈道導彈防禦系統也有著重要的參考價值。In this paper, we introduce the implementation of the space - object database for the use of space surveillance, also the example of the database being used in the space surveillance for space object identification and classification is given
闡述了面向空間監視應用的空間目標數據庫的建立技術與方法,並給出了它在空間監視的目標分類、識別應用中的樣例Two popular statistical - based techniques, namely, bayes and dempster - shafer methods are applied to develop radar target identification algorithms for our application. the performance of bayes method and d - s method is compared in convergence time and robustness
運用兩種普遍使剛的統計推斷方法? bayes方法和d - s證據理論對以上空中目標進行識別,比較了它們的收斂時間和穩健性。The optimized feature set feeds a 3 - class classification module, which is based on the traditional binary svm classifier. and the proposed linear programming svm reduces the burden of the svm classifier and improves its learning speed and classification accuracy. a new algorithm that combined svm with k nearest neighbor ( knn ) is presented and it comes into being a new classifier, which can not only improve the accuracy compared to sole svm, but also better solve the problem of selecting the parameter of kernel function for svm
在研究了數據挖掘、支持向量機及其有關技術的基礎上,建立了實現三類水中目標識別的svm方法;採用線性規劃svm解決了傳統二次規劃svm在海量樣本情況下導致的時間和空間復雜度問題;提出了將最近鄰分類與支持向量機分類相結合的svm - knn分類器應用於水中目標識別的思想,較好地解決了應用支持向量機分類時核函數參數的選擇問題,取得了更高的分類準確率。Radar data processing ( rdp ) is critical technology in air traffic control ( atc ) system. rdp receive observation from sensor and processing radar data to tracking target. rdp provide position, velocity, characters and maneuver of target
雷達數據處理是空中交通管制系統中的關鍵技術,它接收雷達傳感器獲取的數據並進行相應的處理,形成表示目標運動軌跡的航跡,提供目標的位置,速度,機動情況和屬性識別,對目標進行跟蹤和監視。For being the key technology of spatial surveillance, spatial target recognition is a very important research direction
由於空間目標識別是空間監視中的一項關鍵技術,因而成為目標識別的一個重要研究方向。In the whole bonding application, bond targets ’ identification and orientation are the most important aspects for full - automation. this dissertation introduces zoom microscope into the microscope positioning system to settle the contradiction between microscope ’ s visual range and depth of field. multiple scale images go through various image processing, and finally different bond targets are identified and positioned
將採集得到不同放大倍數時鍵合器件的清晰圖像經過各種圖像處理程序識別並分離出鍵合目標,通過一種「全局粗定位、局部精定位」的坐標變換方式完成了鍵合目標在操作空間中的精確定位。分享友人