reflection ratio中文什么意思

發(fā)音:

用"reflection ratio"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(xué)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(xué)】(神經(jīng)等的)反射作用。 4.非難，譴責(zé)；丟臉，恥辱 (on, upon)。 5.折轉(zhuǎn)；彈回；【解剖學(xué)】翻轉(zhuǎn)(處)，折轉(zhuǎn)(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(fù)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(zé)…，成為…的恥辱。 on [upon] reflection 仔細(xì)想，反??；對…不利，使…名譽(yù)受影響，使…蒙受恥辱；中傷，影射(On reflection, I doubt whether I was right. 細(xì)細(xì)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

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例句與用法

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(jié)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(zhì)量、波段組合進(jìn)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(jìn)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(chǔ)；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(biāo)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(nèi)的波段是進(jìn)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(guān)系，是開展精細(xì)植被分類研究和植被定量反演的重要基礎(chǔ)；像元的導(dǎo)數(shù)光譜分析可以消除土壤背景的影響，是進(jìn)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(jié)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(zhì)量、波段組合進(jìn)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(jìn)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(chǔ)；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(biāo)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(nèi)的波段是進(jìn)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(guān)系，是開展精細(xì)植被分類研究和植被定量反演的重要基礎(chǔ)；像元的導(dǎo)數(shù)光譜分析可以消除土壤背景的影響，是進(jìn)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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