reflection ratio中文是什么意思

發(fā)音:

中文翻譯
造句

un. 反射系數(shù)

pressure reflection ratio 聲壓反射率
and reflection 經(jīng)驗與反思，198
no reflection 無反射
reflection n. 1.【物，計】反射；反射波[光，熱，音，色]。 2.反映；反影，映像，(映在水等中的)影像；〔比喻〕學人樣的人，極像…的人，逼肖的形象[言語、動作、思想]。 3.反省，熟慮，沉思，回顧；〔pl.〕感想，意見；【心理學】(神經(jīng)等的)反射作用。 4.非難，譴責；丟臉，恥辱 (on, upon)。 5.折轉；彈回；【解剖學】翻轉(處)，折轉(處)。 theory of reflection 反映論。 an angle of reflection 反射角。 He is simply a reflection of his father.他完全是他父親的復本。 I have a few reflections to offer on what you have said. 我對你的發(fā)言提供幾點意見。 be lost in reflection 沉思。 cast a reflection on 譴責…，成為…的恥辱。 on [upon] reflection 仔細想，反?。粚Α焕?，使…名譽受影響，使…蒙受恥辱；中傷，影射(On reflection, I doubt whether I was right. 細細想起來我倒懷疑我講的是否正確了)。 without (due) reflection 不經(jīng)思考，輕率。 adj. -al
mirror reflection specula reflection 鏡面反射
as ratio 聯(lián)想感覺比
ratio n. (pl. ratios) 1.比，比率，比值；比例；系數(shù)。 2.【經(jīng)濟學】復本位制中金銀的法定比價。 the ratio 3:2 (讀作 the ratio of three to two )3對2之比。 arithmetical ratio 公差，算術比。 direct ratio 正比。 inverse [reciprocal] ratio反比。 current ratio 電流比，電流變換系數(shù)。 nutritive ratio 營養(yǎng)率。 vt. 1.用比例方式表達；求出…的比值；使…成比例。 2.將(相片)按比例放大或縮小。
ratio t 統(tǒng)計系數(shù)與標準誤差比率
t ratio 統(tǒng)計系數(shù)與標準誤差比率
a few reflection 少許波,少許反射波
abnormal reflection 反常反射; 異常反射
absent reflection 消缺反射
acceleration by reflection 反射加速
accelerator by reflection 反射加速器
accidental reflection 偶然反射
ace reflection 空間反演
acoustic reflection 聽反射,聲反射,聽反射
acoustical reflection 聲反射
ambient reflection 環(huán)境反射
andreev reflection 安德列耶夫反射; 安德列也夫反射
angle of reflection 反射角; 折射角
angle of-reflection 反射角
asymmetric reflection 不對稱反射
auroral reflection 極光反射
back reflection 背反射; 背射法; 背射線

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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(qū)的地物特征，對高光譜數(shù)據(jù)不同波段的數(shù)據(jù)質量、波段組合進行了評價，提出了適用于荒漠化監(jiān)測的基本波段選擇集；初步了解和掌握了研究地區(qū)的地物光譜特性及變異規(guī)律，進一步明確了掌握地物光譜特征和變異規(guī)律是用成像光譜儀數(shù)據(jù)提取地物信息的基礎；發(fā)現(xiàn)了基于光譜整體形狀的分類方法在很大程度上能夠消除由于傳感器、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(xiàn)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(jiān)測的主要特征波段，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(shù)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(jiān)測主要評價因子的定量反演模型，并分析了模型的適用性。
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(qū)的地物特征，對高光譜數(shù)據(jù)不同波段的數(shù)據(jù)質量、波段組合進行了評價，提出了適用于荒漠化監(jiān)測的基本波段選擇集；初步了解和掌握了研究地區(qū)的地物光譜特性及變異規(guī)律，進一步明確了掌握地物光譜特征和變異規(guī)律是用成像光譜儀數(shù)據(jù)提取地物信息的基礎；發(fā)現(xiàn)了基于光譜整體形狀的分類方法在很大程度上能夠消除由于傳感器、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(xiàn)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(jiān)測的主要特征波段，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(shù)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(jiān)測主要評價因子的定量反演模型，并分析了模型的適用性。

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