波譜特徵曲線 的英文怎麼說

中文拼音 [bōpǔtèzhǐqūxiàn]
波譜特徵曲線 英文
ectrumcharactercurve
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 譜 : Ⅰ名詞[書面語]1 （按類別或系統編成的書或冊子等） table; chart; register 2 （指導練習的格式或圖形）...
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 曲 : 曲名詞1 （一種韻文形式） qu a type of verse for singing which emerged in the southern song and ji...
  • 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...
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 曲線 : [數學] curve; bight; bought; profile; net曲線板 french curve; irregular curve; curve board; splin...
  1. And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed

    研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。
  2. Around 40 ; the neutral curve obtained by the growth rates of the temperature fluctuation has a ringlike curve separated from the main branch of nachtsheim s calculation by velocity fluctuation at the lower grashof number side ; and its phase velocity is close to the maximum mean velocity where the critical layer of the eigenmode locates. the thermal fluctuation decays rapidly as the nondimensional frequency above 0. 4, so that it means that the coupling effect between instability wave generated by buoyancy fluctuation and velocity waves by invicid instability seems weak enough for their critical layers in the range of the nondimensional frequency

    詳細研究了自然對流邊界層中最早失穩的浮力振型的功率譜波長波速與臨界層位置等基本特徵和它為主導其他振型尚未失穩時按線性理論得到的3種相互獨立振型的振幅分佈。系統地測量了它所對應的溫度和速度漲落的振幅增長規律和中性曲線，實驗結果表明，溫度漲落的中性曲線在低格拉斯霍夫grashof數
  3. The results show that the fiber with chromatic dispersion that is a convex function of wavelength in normal dispersion region is favorable for generating a flat sc spectrum

    發現在光纖的正常色散區，色散曲線與波長的成凸型函數關系的色散特徵，有利於平坦光纖超連續譜的產生。
  4. This paper selects representative samples wuliangsu lake, yellow river, dongjuyan lake and ejina salina, after information is analyzed, using optimal band index oif index, spectrum characteristics curve and application scope of each band to select optimal bands. the result shows that band 3, 4, 5 are best ones and etm453 combination is the best after r, g, b composed. all this fit for western inner mongolia

    根據西部區主要濕地類型本文選取烏梁素海、黃河、東居延海、額濟納鹽沼典型樣地，通過多光譜信息的統計分析，採用波段選取最佳指數oif指數並結合地物光譜特徵曲線、各波段主要用途進行最佳波段的選取，結果一致表明3 、 4 、 5波段是各典型濕地的最佳波段，可作為反映內蒙古西部濕地信息的最佳波段。
  5. Spectrum character curve

    波譜特徵曲線
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