The statistic classification method, which is the basis of various new classification methods, is very popular in the classification of remote sensing image.
统计分类方法在遥感图像分类中运用得很普遍，同时统计分类方法还是各种新兴分类方法的基础。
Furthermore this algorithm has no influence on such applications as edge detection and image classification of the disguised remote sensing image which has hidden the secrete information.
此外，该算法对隐藏了机密信息后的伪遥感影像的各种应用，如边缘检测和影像分类等均没有影响。
The point is about introduction of Highlighted in remote sensing image process used radiation to enhance remote sensing image, computer classification process technology.
着重介绍了在进行遥感影像处理过程中所用到遥感影像辐射增强、计算机分类等的处理技术。
This paper puts forward a new method of invariant texture classification for remote sensing image.
本文提出了一种遥感图像旋转不变纹理分类的新方法。
A new automatic classification model of remote sensing image using pixel information decomposition combined with neural network classification is proposed in this paper.
提出了一种新的基于像元信息分解和神经网络分类相结合的城市绿地遥感信息自动提取方法。
In this paper, fuzzy sets theory was applied in classification of remote sensing image, classification of remote sensing image was researched.
本文将模糊集理论应用于遥感图像的分类中，研究了模糊集理论在遥感图像分类中的应用。
In this paper the relaxation algorithms and their applications in image matching, edge extraction and remote sensing imagery classification are described.
本文阐述了松弛法算法及其在图象匹配、边缘抽取及遥感图象分类等方面的应用。
The spatial information of the image and evidence theory is applied to classification of remote sensing image based on neural networks.
把影像的空间信息融入分类决策，提出了一种基于证据理论与神经网络的遥感影像分类方法。
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。
The system can be also used to class and recognize soil pattern from remote sensing image, and to examine and evaluate the classification precision.
该系统可以对遥感图像进行土壤类型的分类识别，并对分类精度进行监测与评价。
The hyperspectral remote sensing image is rich in spectrum information, so it can be better to carry on the ground targets classification.
高光谱遥感影像具有丰富的光谱信息，在地物分类识别方面具有明显的优势。
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。
Futhermore, it also includes the improvement of current grassland classification and the level of interpretation by means of remote sensing image.
同时对改进现行草地分类、提高遥感图象解译水平等问题进行了讨论。
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。
BP neural network is widely used for classification of remote sensing image data nowadays.
BP神经网络近年来广泛地应用于遥感影像分类中。
The classification of Remote Sensing Image is an important measure for obtaining information of remote sensing image.
对遥感图像分类是遥感图像信息获取的重要手段。
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。
According to the problem in the development of computer Remote Sensing image auto-classification, this paper does more detailed research in the area of feature and decision fusion classification.
本文针对遥感图像计算机自动分类中的问题，主要进行了以下几方面的研究工作。
Thus, some scholars use object-oriented information extraction technology to classify the remote sensing image, greatly increased the accuracy of high-resolution remote sensing image classification.
于是，有些学者将面向对象信息提取技术运用到遥感影像的分类中，大大提高了高分辨率遥感影像的分类精度。
Remote sensing classification is the main method of the analysis of remote sensing data and very important research content in remote sensing image procession.
遥感分类是主要的遥感数据分析方法，是遥感图像处理中的一个非常重要研究内容。
It has an important practical significance in offering essential information and data for the decision-maker with recognition and classification the drainage system from the image of remote sensing.
对各种遥感影象的水系加以识别和分类，为决策者提供必要的信息和数据，具有重要的现实意义。
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。
Nowadays, texture image analysis and classification is widely used in blemish locate, object recognize, image search, remote sensing image analysis and other fields.
现在对于纹理图像的分析和分类广泛用于瑕疵定位、景物识别、图像检索、遥感图像分析等多个领域。
Classification is an important step in remote sensing image processing, it is often the base of other advance applications.
分类是遥感图像分析处理的一个重要环节，它是各种高级应用的基本前提。
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。
Due to low efficiency of river channel remote sensing images artificial interpretation, river classification of image recognition system was proposed.
针对河流遥感图像形状类型人工图像解译效率低，提出了河流图像自动识别分类方法。
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。
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。
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