英汉例句

• smooth implementation of this project, for solving uncertain information in remote sensing image classification has a high theoretical value and a good prospect.

  本项目的顺利开展，对于解决遥感影像中不确定信息分类问题具有较高的理论价值和良好的应用前景。

• considering the features of remote sensing images, we proposed a remote sensing image classification algorithm using fuzzy cerebellar model articulation controller (fcmac) neural network.

  针对遥感图像分类的特点，提出一种基于模糊小脑模型神经网络的遥感图像分类算法。

• absrtact: the main problem of remote sensing image classification is the contradiction of classification precision and algorithm complexity, and algorithm lacking of robust.

  摘 要：目前遥感图像分类算法面临的主要问题是分类精度与算法复杂度的矛盾及算法缺乏鲁棒性。

• thus, ais method is employed for remote sensing image classification in this paper, where clonal selection algorithm is used to build a su.

  该文将人工免疫系统引入遥感图像分类领域，设计了基于克隆选择算法的遥感图像监督分类方法，并将其应用于广州市遥感影像分类。

• then, an experiment of remote sensing image classification is carried out to verify the authenticity based on the relations between samples and bands.

  然后，在遥感影像分类实验中，借助样本数量与波段数目的关系，验证了理论分析的结果。

• the main drawback of traditional remote sensing image classification methods is its low precision. a neural network-based remote sensing image classification technique has been presented.

  针对传统的遥感图像分类方法分类精度低的缺点，提出了一种基于神经网络的分类方法。

• experimental results show that radial basis function neural network classifier can be applied in remote sensing image classification through network learning.

  针对遥感图象分类的特点，提出了一种径向基函数神经网络的遥感图象分类器。

• traditional remote sensing image classification methods have been mature, especially the maximum likelihood technique based on statistical analysis methods.

  传统的遥感影像分类处理方法的发展已经比较成熟，特别是基于统计的最大似然分类方法。

• remote sensing image classification is an important research field of information processing.

  遥感影像分类是遥感信息处理的重要研究领域之一。

• remote sensing image classification is an important means for quantified remote sensing image analysis, and remote sensing image fusion can effectively improve the accuracy of image classification.

  遥感影像分类是遥感定量化分析的重要手段，遥感影像融合是提高分类正确率的有效途径之一。

• the result also proves the importance of spatial information in remote sensing image classification and the (effectiveness) of classification method under spatial constraint.

  试验表明，该方法简单实用，同时也说明了空间知识在遥感分类中的重要性。

• current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, bayesian and so on.

  目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。

• in this paper, we propose an automatic multispectral remote sensing image classification technique based on improved probabilistic diffusion.

  为了提高遥感图像分类精度，提出了一种基于概率扩散模型的多光谱遥感图像自动分类技术。