影像分类

[计]图像分类

Whyte classification───怀特分类法

decimal classification───[图情]十进制分类法

Hubble classification───n.哈勃分类

Whyte classifications───Whyte分类

declassification───n.解密；从机密表删除；不再当机密文件处理

job classification───[劳经]工作分类；职位分类；职务分类

reclassification───n.重新分类；再次分级

decimal classifications───[图情]十进制分类法

Harvard classification───n.哈佛分类法

Image classification and geo - information extraction is a fundamental process during the application of remote sensing technology.───在应用遥感技术获取地球资源信息的过程中,影像分类和地物信息解译是一项基础性工作.

Experimental results show that the algorithm is effective image classification.───实验结果表明,该算法可以得到较好的分类结果.

In this thesis, SVM as a new machine learning method is brought into medical image classification.───论文将支持向量机的机器学习方法引入到医学图像的分类问题。

In this paper, we proposed an approach based on image subtraction and image classification.───本文提出了一种基于图像差值和分类专题图的城市扩展变化提取方案.

A limitation in efficiently applying image classification is often represented by the spatial resolution of image.───影响遥感图像分类效果的主要因素之一是空间分辨率.

This paper firstly investigates the application of support vector machines for medical image classification.───本文首次采用支持向量机方法对医学图像进行了分类研究。

Texture analysis has become an important means for improving the accuracy of remote sensing image classification.───纹理分析是提高遥感影像分类精度的重要手段之一.

In turn, CrystalVision will be improved to provide faster and more accurate image classification.───反过来, CrystalVision将 会被改进,以便于提供更快更准确的图像分类.

Conventional remote sensing image classification methods are mostly based on Bayes subjective probability theory.───遥感图像分类是一项十分重要而且复杂的问题.

This paper presented a method of image classification using wavelet based on shape and texture.───提出一种基于小波的形状和纹理联合特征的图像分类方法.

Digital image classification and description of methods images histogram.───数字图像的分类与描述方法;图象灰度直方图.

Medical image classification plays a central role in automation of information system of hospitals.───医学图像的自动分类对于医院的信息自动化有重要的意义。

SOM algorism is implemented in the C ++ program. It's used for face image classification.───这个C++语言写的程序实现了SOM算法, 用于人脸图像的分类.

To improve the precision of remote sensing image classification, this paper proposes hybrid multi - classifier combination method.───为改善遥感影像分类精度, 提出混合多分类器结合算法.

This paper deals with the techniques for improving image classification by extracting geometric attributes of objects.───利用地物的几何属性修正分类,以避免分类中的光谱混淆问题.

Improving classification accuracy is always the focus for remote sensing image classification.───提高遥感图像分类精度一直是受到普遍关注的焦点问题.

Conventional remote sensing image classification methods are mostly based on Bayes subjective probability theory.

For that, this paper gives a new characteristic index: time serial's Simple Linear regression Coefficient (SLC), this index is mainly used for the long time serial remote sensing image classification.

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

Texture analysis has become an important means for improving the accuracy of remote sensing image classification.

Automatic medical image classification is to give the semantic category labels to medical images, which can be regarded as a supervised learning process.

The area data of image classification was fairly close to those of second class investigation in each town.

To improve the precision of remote sensing image classification, this paper proposes hybrid multi - classifier combination method.

The texture image classification system is designed and realized based on texture spectrum and neural networks for applications in microimage analysis.

Digital image classification and description of methods images histogram.