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field-based in Chinese

Pronunciation:
How to pronounce "field-based""field-based" in a sentence

Translationmobile phoneMobile

  • 基于場(chǎng)的

Examples

  • The techniques shown so far also work as you would expect for field - based join points
    到目前為止所展示的技術(shù),處理的都是基于字段的連接點(diǎn)。
  • At feature level , this paper focuses on markov random field - based image classification algorithms
    在特征層,論文研究了基于markov隨機(jī)場(chǎng)的圖像分類方法。
  • Standard test method for determination of beryllium in the workplace using field - based extraction and fluorescence detection
    利用現(xiàn)場(chǎng)萃取和熒光檢測(cè)法測(cè)定工作場(chǎng)所鈹?shù)臉?biāo)準(zhǔn)試驗(yàn)方法
  • This unique tie between theoretical academic studies and field - based action research is one of the continuing allures of the program
    本系提供將理論學(xué)術(shù)研究和田野調(diào)查研究結(jié)合的機(jī)會(huì),也是最吸引人的特色之一。
  • The algorithm can automatically specify morphing feature . the method modifies field - based image morphing , reduces the complex degree of morphing algorithm and accelerates morphing
    改進(jìn)了基于域的圖象變形算法,較大地減小了變形算法的復(fù)雜度,提高了算法的運(yùn)算速度。
  • The result showed that , . making full use of the spatial information of the structure , the neighbor - field - based mixed pixel interpretation method made the best effect than the other two methods , it got a accuracy of 96 . 7 %
    提取結(jié)果顯示,三種分解方法中,基于鄰域像元的灰色相關(guān)像元分解法充分利用了空間結(jié)構(gòu)信息,其提取植被覆蓋率精度最高,達(dá)到96 . 7 。
  • We analyze in detail the difficulties in integration of field - based model and object - based model , and propose an object - oriented 3d gis integrated model . we also discuss the architecture of the integrated model
    本文詳細(xì)分析了基于域和基于對(duì)象兩種空間數(shù)據(jù)模型集成的各種問(wèn)題及相應(yīng)的解決措施,提出了一種面向?qū)ο笕Sgis集成數(shù)據(jù)模型,并深入討論了集成模型的體系結(jié)構(gòu)。
  • Three methods of interpreting mixed pixels were used to tm images , linear method , logistic nonlinear method and neighbor - field - based mixed pixel interpretation method , to extract the vegetation information , especially the small - region vegetation
    對(duì)tm圖像采用線性混合像元分解、邏輯斯蒂非線性混合像元分解和灰色相關(guān)像元分解等三種方法進(jìn)行混合像元的分解,以提取植被信息。
  • To this area being studied , the optimal fusion method was brovey method and the best mixed pixel interpretation method was neighbor - field - based mixed pixel interpretation . the technology of image fusion and mixed pixel interpretation bave wide prospects in forestry remote sensing
    圖像數(shù)據(jù)融合技術(shù)和混合像元分解技術(shù)是林業(yè)遙感中頗具發(fā)展?jié)摿Φ膬蓚€(gè)領(lǐng)域,有著廣闊的應(yīng)用前景。
  • Compared with field - based image morphing , we can specify the feature more exactly and the numbers of feature primitive are reduced . from experimental results , the algorithm ' s speed is treble improved generating a smooth morphing image , comparing with field - based image morphing
    仿真結(jié)果表明,本算法與傳統(tǒng)的直接空間域變形算法相比,小波變換只分解一層,變形算法的運(yùn)算速度可提高三倍。
  • More examples:  1  2
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