Cloud transform is a method to discretize continuous data based on cloud model.
云变换是一种基于云模型的连续数据离散化方法。
This paper proposes a new method of curve fitting based on cloud transform. Some experiments validate the proposed method.
提出了一种基于云变换的曲线拟合新方法，取得了良好的实验效果，证明了基于云变换曲线拟合方法的有效性。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。
Even if the cloud is likely to transform the IT industry, some things will stay the same. One is the importance of lock-in.
即使云计算将变革it界，有些东西还会依然如故，比如“锁定效应”的重要性。
By introducing mathematical morphology procession of color remote sensing images to the traditional channel procession and the HIS transform, the aim of light cloud removal could be achieved.
在传统的分通道处理和基于HIS变换处理的基础上，引入数学形态学处理彩色遥感影像的薄云。
Backward cloud generator can transform quantitative values into qualitative concepts.
逆向云发生器可以实现定量数值到定性语言值的转换。
Compared with methods of wavelet transform, the method using in this paper can better reappear the ground information of cloud covering and have better image smoothness and image definition.
相比于小波变换等方法，该方法更好地再现了云层覆盖区的地物信息，具有更好的图像光滑度和清晰度。
Because the algorithm of cloud threshold often generates boundary effect, this paper proposed an improved algorithm based on wavelet transform and homomorphic filter.
针对基于小波阈值理论提出的云区阈值法存在的容易产生边界效应的问题，提出了一种改进的单幅图像去除薄云的新算法。
Saveral methods previously used in cloud removal of multi-spectral image are discussed firstly, and then multi-resolution analysis of image fusion based on wavelet transform is introduced.
在介绍几种常用于多传感器遥感图像去云方法的基础上，采用多分辨力小波分解的图像融合法来达到对影像的去云目的。
Saveral methods previously used in cloud removal of multi-spectral image are discussed firstly, and then multi-resolution analysis of image fusion based on wavelet transform is introduced.
在介绍几种常用于多传感器遥感图像去云方法的基础上，采用多分辨力小波分解的图像融合法来达到对影像的去云目的。
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