例句與造句

1. So the pole is an efficiency character of target for automatic target recognition
   因此,極點可以作為目標(biāo)的一個有效特征用于目標(biāo)識別。
2. Feature extraction is a necessary process of automatic target recognition . there are many methods of feature extraction
   特征提取是目標(biāo)識別中必不可少的步驟，其相應(yīng)的方法也很多。
3. This thesis mainly studies the problem of automatic target recognition ( atr ) based on high range resolution radar profiles
   本文主要研究了基于高距離分辨率雷達像的自動目標(biāo)識別問題。
4. Typical areas of applications are image segmentation , stereo vision , and identification of objects as in automatic target recognition
   邊緣檢測是圖像處理和模式識別的重要方法,如圖像分割和自動目標(biāo)識別等。
5. Because invariant moments are invariable to transportation , rotation and scale transformation , they are widely used in automatic target recognition
   不變矩特征具有平移、旋轉(zhuǎn)和比例不變性等優(yōu)點，因此在目標(biāo)識別中得到了廣泛的應(yīng)用。
6. It's difficult to find automatic target recognition in a sentence. 用automatic target recognition造句挺難的
7. With the development of science and technology , automatic target recognition ( atr ) will play more and more important role in modern weapon systems
   隨著科學(xué)技術(shù)的不斷發(fā)展，自動目標(biāo)識別( atr )系統(tǒng)在現(xiàn)代武器系統(tǒng)中的作用越來越明顯。
8. With the new requirement for radar to get more information from the battlefield , radar automatic target recognition ( ratr ) as a new research area appeared in the 1960s
   自20世紀(jì)60年代以來，戰(zhàn)場感知對信息獲取提出越來越高的要求，雷達自動目標(biāo)識別（ ratr ）這一新的研究領(lǐng)域應(yīng)運而生。
9. Road network supply strong contextual information which can be used to improve the performance of automatic target recognition systems by directing the search for targets and adjusting target classification confidences
   道路網(wǎng)可以為自動目標(biāo)識別提供重要的上下文信息,這些信息使目標(biāo)定位更準(zhǔn)確或使目標(biāo)分類更有效。
10. At present , much attention is paid to the research on the mechanism of pcnn and its applications on image processing , automatic target recognition , combination and optimization , attention and artificial life abroad
    目前關(guān)于pcnn工作機理及其在圖像處理、自動目標(biāo)識別、注意、組合優(yōu)化、人工生命等領(lǐng)域的研究和應(yīng)用正得到國外廣泛的重視。
11. Infrared imaging seeker can provide much information about the target and the background , which helps to settle the problems of the automatic targets recognition ( atr ) at long distance and of aiming at fatal parts within short distance
    紅外成像導(dǎo)引頭可以提供豐富的目標(biāo)和背景信息，能較好的解決遠距離目標(biāo)自動識別和近距離命中點選擇等問題。
12. A model of gabor wavelet neural network is constructed with automatic target recognition , the real time process aim is realized with the automatic target recognizing system applying optimizing theory and self - adapt technique
    同時構(gòu)建了用于灰度圖像目標(biāo)識別的oabor小波神經(jīng)網(wǎng)絡(luò)模型，應(yīng)用優(yōu)化理論和自適應(yīng)技術(shù)，使目標(biāo)識別系統(tǒng)達到實時處理的目的。
13. The thesis describes the state of automatic target recognition , track system and the developing trends of the relative technology , deeply systemic research the image segmentation , recognition and tracking algorithm
    本文闡述了目前目標(biāo)識別、跟蹤系統(tǒng)的研究現(xiàn)狀及相關(guān)技術(shù)的發(fā)展動態(tài)；對可見光圖像的分割、識別、跟蹤算法進行了深入的、系統(tǒng)的研究。
14. Rfid is a non - contact automatic identification technology , rf signal through its automatic target recognition and access to relevant data , identification is not required manual intervention . it can work in all kinds of environments
    Rfid是一種非接觸式的自動識別技術(shù),它通過射頻信號自動識別目標(biāo)對象并獲取相關(guān)數(shù)據(jù)，識別工作無須人工干預(yù)，可工作于各種惡劣環(huán)境。
15. Xu rui - xin ( mechanic and electronic engineering ) directed by liu wei - ning real - time tracking moving objects in complex background is a study field of automatic target recognition ( atr ) , it include segment target , pick - up character and recognize target
    復(fù)雜背景下實時目標(biāo)的跟蹤與識別屬于自動目標(biāo)識別（ atr ）研究領(lǐng)域，包括對目標(biāo)的分割、特征提取和目標(biāo)識別等幾個方面。
16. With the quick development of information technique and computer science , the techniques about image processing , automatic target recognition and computer vision have been widely applied in many fields , such as industries , national defence , aeronautics and aerospace
    隨著信息技術(shù)和計算機科學(xué)的迅速發(fā)展，圖像處理、自動目標(biāo)識別以及計算機視覺技術(shù)已經(jīng)被廣泛于工業(yè)、國防、航空和航天等諸多領(lǐng)域。
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