The result showed that it was speedy to extract spectral feature of cucumber disease by the gray of images.
实验结果表明，用亮度信息提取霜霉病害的多光谱图像特征波段，能快速提取病害的特征波段信息。
Great achievements in some aspects such as pure pixel extraction, spectral unmixing, matched filtering and spectral feature fitting have been made.
在纯净像元提取、混合像元分解、匹配滤波、光谱特征拟合等方面进行了探索。
It is designed out in accord with two principles: one is the spectral feature optimization and parameterization, another is fuzzy and expert decision in pixel identification.
这种算法主要体现了两大原则，一是基于待分类别的光谱特征优化与参量化原则，二是类别判定中的模糊定义与专家决策原则。
According to the spectral feature of the signal generated by the multiplexed fiber Bragg grating (FBG) sensors, image spectrometry is proposed to demodulate multiplexed signal.
根据光纤光栅多传感器复用时信号的光谱特征，提出了采用成像光谱技术对复用信号进行解调的方案。
Finally, according to the restriction of the preliminary clustering result derived from spectral feature of objects, the ultimate classification is achieved referring to the rules.
最后，在对象光谱特征的初步分类结果，根据纹理分类规则得到最终结果基础上。
Based on the spectral feature neighborhood, this paper proposes a tolerant rough set classification method to handle the uncertainty in the process of satellite remote sensing data classification.
结合粗糙集理论和遥感数据中地物光谱特征空间分布信息，提出了一种基于光谱特征邻域的容差粗糙集分类方法，用来处理卫星遥感数据分类中的不确定性问题。
Hyperspectral remote sensing is a new technology, and this technology brings people strongly method of accurately-identify surface feature by means of acutely ability of spectral feature detecting.
高光谱遥感是一种全新的遥感技术，这项技术以其敏锐的光谱特征探测能力为人们精确认识地物属性提供了强有力的手段。
It is very necessary to extract spectrum feature and compress spectral data, that is, a large spectrum dataset can be represented by the linear combination of some eigenvectors.
所以，对光谱数据进行特征提取、实现数据压缩是非常必要的，即将一个大光谱数据集表示为几个特征矢量的线性组合。
Finally, a novel robust feature parameter, Adaptive Subband Power Spectral Entropy (ASPSE), is presented to successfully detect endpoints in different background noises.
发现了一种新颖的鲁棒特征参数-自适应子带谱熵(aspse)，它能成功地在不同的背景噪声下检测语音端点。
The results show that acoustic response feature of random vibration depends on the acoustic response function and the spectral density function of the stimulating load.
理论推导和实例结果表明，随机振动的声学响应特性取决于声学频率响应函数和激励谱密度函数。
This paper investigates the dielectric spectral function and the feature of absorbing electromagnetic wave in carbon nanotube arrays.
本文研究碳纳米管阵列的介电谱函数与吸收电磁波的特性。
The lung sound feature were extracted by using higher-order spectral technique.
用高阶谱分析方法，对肺音信号进行了特征提取。
Moreover, the applications of this method to feature extraction of cepstrum product and spectral moment distance are described.
此外，本文应用这种方法提取语声倒谱的积谱、谱矩距离等语音时变特征，并加以伪彩色编码显示。
The image feature fusion is a kind of data fusion that is based upon spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征情况下的信息融合。
In order to solve the problems of feature extraction and calibration modeling in the area of quantitatively infrared spectral analysis, a structural adaptive neural network is proposed.
为了解决红外光谱定量分析中的特征提取和校正规模问题，提出了一种输入层自构造神经网络。
Aiming at ship detection in optical image, this paper proposes a new method for ship detection based on feature fusion of multi-spectral image and PAN image.
该文以可见光图像舰船目标为研究对象，提出了用多谱图像和全色图像进行特征融合来检测舰船目标的方法。
The proposed method optimizes spectral information by feature extraction and reduces the spectral noise. The classifier performance is improved.
该方法利用特征提取优化了光谱信息，降低了谱间噪声，提高了分类器的性能。
The feature points are clustered in this subspace using a graph spectral approach.
的特征点都聚集在此子空间使用的光谱的曲线图的方法。
The image feature fusion is a kind of data fusion that is based on spectral structure and texture feature of the objects.
基于图像特征的遥感图像信息融合是在突出目标地物的空间结构和纹理特征基础上的信息融合。
In this paper, a feature product-based image fusion method between multi-spectral image and PAN image is proposed.
提出了一种基于特征量积的遥感图像融合方法。
In addition, the spectral selection based on the image's feature and experience is also an effective way to improve the classification of hyper-spectral remote sensing images.
另外，根据图像特征和经验对图像进行波段选择，也是改善高光谱遥感分类效果的有效途径。
The power spectral density of gearbox vibration signals is estimated by the periodogram from which original feature sets are derived.
为解决该问题，提出了利用频域特征和遗传编程对齿轮箱盖多类状态振动信号进行特征提取的方法。
Spectral data sources of sandy land included single surface feature and composite surface feature, and their spectral data were measured by different sampling methods.
沙化土地光谱数据源分为单一地物类型级和复合地物类型级两种，野外测量时分别采取不同的采样方法。
Spectral data sources of sandy land included single surface feature and composite surface feature, and their spectral data were measured by different sampling methods.
沙化土地光谱数据源分为单一地物类型级和复合地物类型级两种，野外测量时分别采取不同的采样方法。
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