reflection ratio中文是什么意思

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中文翻译
造句

un. 反射系数

pressure reflection ratio 声压反射率
and reflection 经验与反思，198
no reflection 无反射
reflection n. 1.【物，计】反射；反射波[光，热，音，色]。 2.反映；反影，映像，(映在水等中的)影像；〔比喻〕学人样的人，极像…的人，逼肖的形象[言语、动作、思想]。 3.反省，熟虑，沉思，回顾；〔pl.〕感想，意见；【心理学】(神经等的)反射作用。 4.非难，谴责；丢脸，耻辱 (on, upon)。 5.折转；弹回；【解剖学】翻转(处)，折转(处)。 theory of reflection 反映论。 an angle of reflection 反射角。 He is simply a reflection of his father.他完全是他父亲的复本。 I have a few reflections to offer on what you have said. 我对你的发言提供几点意见。 be lost in reflection 沉思。 cast a reflection on 谴责…，成为…的耻辱。 on [upon] reflection 仔细想，反省；对…不利，使…名誉受影响，使…蒙受耻辱；中伤，影射(On reflection, I doubt whether I was right. 细细想起来我倒怀疑我讲的是否正确了)。 without (due) reflection 不经思考，轻率。 adj. -al
mirror reflection specula reflection 镜面反射
as ratio 联想感觉比
ratio n. (pl. ratios) 1.比，比率，比值；比例；系数。 2.【经济学】复本位制中金银的法定比价。 the ratio 3:2 (读作 the ratio of three to two )3对2之比。 arithmetical ratio 公差，算术比。 direct ratio 正比。 inverse [reciprocal] ratio反比。 current ratio 电流比，电流变换系数。 nutritive ratio 营养率。 vt. 1.用比例方式表达；求出…的比值；使…成比例。 2.将(相片)按比例放大或缩小。
ratio t 统计系数与标准误差比率
t ratio 统计系数与标准误差比率
a few reflection 少许波,少许反射波
abnormal reflection 反常反射; 异常反射
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 空间反演
acoustic reflection 听反射,声反射,听反射
acoustical reflection 声反射
ambient reflection 环境反射
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 不对称反射
auroral reflection 极光反射
back reflection 背反射; 背射法; 背射线

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例句与用法

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
研究结果如下：首先针对荒漠化地区的地物特征，对高光谱数据不同波段的数据质量、波段组合进行了评价，提出了适用于荒漠化监测的基本波段选择集；初步了解和掌握了研究地区的地物光谱特性及变异规律，进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础；发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的“同物异谱”现象，对于谱形相似而整体反射率的值相差较大的两类地物，通过引入均值和方差图像参与分类得到解决；研究还表明在植被“红边”范围内的波段是进行荒漠化监测的主要特征波段，这些波段与植被生物量和盖度都有密切的关系，是开展精细植被分类研究和植被定量反演的重要基础；像元的导数光谱分析可以消除土壤背景的影响，是进行植被生物量和盖度定量反演的有力工具；建立了荒漠化监测主要评价因子的定量反演模型，并分析了模型的适用性。
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
研究结果如下：首先针对荒漠化地区的地物特征，对高光谱数据不同波段的数据质量、波段组合进行了评价，提出了适用于荒漠化监测的基本波段选择集；初步了解和掌握了研究地区的地物光谱特性及变异规律，进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础；发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的“同物异谱”现象，对于谱形相似而整体反射率的值相差较大的两类地物，通过引入均值和方差图像参与分类得到解决；研究还表明在植被“红边”范围内的波段是进行荒漠化监测的主要特征波段，这些波段与植被生物量和盖度都有密切的关系，是开展精细植被分类研究和植被定量反演的重要基础；像元的导数光谱分析可以消除土壤背景的影响，是进行植被生物量和盖度定量反演的有力工具；建立了荒漠化监测主要评价因子的定量反演模型，并分析了模型的适用性。

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Last modified time:Tue, 12 Aug 2025 00:29:56 GMT