RS image classification and information derivation of mosquito habitats.
蚊媒孳生环境遥感分类和遥感信息提取研究。
Then support vector machines using the kernel are trained to perform image classification.
然后将该核函数应用于支持向量机，对图像进行分类。
The post-processing of image classification is an important procedure in classified mapping.
图像分类后处理是图像分类制图过程中十分重要的一个步骤。
Unfortunately, in hyper-spectral image classification, training samples are usually limited.
然而在高光谱图像分类中，训练样本通常是有限的。
In this paper a novel approach for image classification based on feature element is proposed.
本文提出了一种基于特征元素的图象分类方法。
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。
In remote sensing image processing, image classification plays the role of feature's extraction.
在遥感图像的处理中，图像分类起到特征提取的作用。
Fast and accurate SAR image classification is a very pivotal part in the practical applications.
快速、准确的SAR图像分类是实现各种实际应用的前提。
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。
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。
Synthetic Aperture Radar (SAR) image classification is a key technique of SAR image interpretation.
合成孔径雷达(SAR)图像分类是SAR图像解译的关键技术之一。
The model proved to be able to increase the accuracy of crop identification and image classification.
通过分类验证，使用该模型进行图像增强后，有助于提高农作物识别与图像分类的精度。
Data mining based medical image classification methods is an important component of multimedia data mining.
基于数据挖掘的医学图像分类方法研究是多媒体数据挖掘的一个重要组成部分。
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。
The area data of image classification was fairly close to those of second class investigation in each town.
各镇（林场）地类、林分面积与二类调查数据比较接近。
It acquires good classified effects that fuzzy mathematics is applied in the panchromatic aerial image classification.
将模糊数学理论引入中小比例尺全色航空影像分类中，取得了一定的效果。
The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
说明：为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。
The test shows that multi-scale Lempel-Ziv complexity can be used as an image classification method or as a feature of image classifier.
该结果说明：不同尺度下复杂性的差异可以作为图像分类的新方法或者作为现有分类器的特征。
This paper proposes a fast algorithm for texture feature extraction. The new algorithm is suitable for remote image classification on line.
给出一种抽取纹理特征的算法，该算法实时性强，适于在线遥感图像分类。
Selection of optimal feature combinations is one of the key procedures for remotely sensed image classification and information abstraction.
最佳特征影像组合的选择是决定遥感影像信息提取与影像分类效果的关键环节之一。
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。
In the practical applications of SAR image classification, we have little prior knowledge about the classes and we rarely use polar information.
在实际的SAR图像分类应用中，我们关于类别的先验知识非常少，极化信息的利用也不充分。
To enhance the accuracy of image classification, proposed hybrid multiple classifier combination method from abstract level and measurement level.
为了提高遥感影像分类精度，从抽象级和测量级的两个层次出发，提出混合多分类器结合算法。
With regard to the problem that original feature in image classification is mass and redundancy, a new image feature selection method was presented.
针对目前图像识别中原始特征数量大、不相关特征多以及冗余等现象，提出了一种图像特征选择方法。
It's shown by the image classification results that significance is a reasonable and effective criterion for classification between two kinds of objects.
分类结果表明：显著性度量是一种合理并有效的两种地物的分类判据。
In this paper, combining the SAR imaging mechanism, the theory of granular computing of quotient space based SAR image classification algorithm is proposed.
文章将商空间粒度计算引入SAR图像的分类中，结合SAR图像特性，提出了一种基于粒度合成理论的SAR图像分类方法。
This method not only preserves the edge of the image, avoids the problem of edge blurring in image classification, but also is effective in region division.
该方法既保留了图象的边缘，避免了以往图象分类中出现的边缘模糊问题，又有效地对图象进行了区域划分。
Advanced image processing algorithms assist operators with change detection, image classification, identifying anomalies and tracking patterns of activity over time.
先进的图像处理算法协助操作人员随时进行变化检测、图像分类、识别异常和跟踪活动模式。
The image classification can be used as a pre-filter of the image search engine to reduce the amount of image matching, and speed up the image index processing.
图片分类可用作图像搜索引擎的预滤波，以降低图像检索时的图像匹配数量，提高检索速度。
The image classification can be used as a pre-filter of the image search engine to reduce the amount of image matching, and speed up the image index processing.
图片分类可用作图像搜索引擎的预滤波，以降低图像检索时的图像匹配数量，提高检索速度。
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