该文研究了无监督遥感图像分类问题。
The problem of unsupervised classification of remotely sensed image is considered in this paper.
研究了面向对象高分辨遥感图像分类技术。
Study the object-oriented classification technology of high resolution remote sensing image.
对遥感图像分类是遥感图像信息获取的重要手段。
The classification of Remote Sensing Image is an important measure for obtaining information of remote sensing image.
提高遥感图像分类精度一直是受到普遍关注的焦点问题。
Improving classification accuracy is always the focus for remote sensing image classification.
遥感图像分类是将图像的所有像素按其性质分为若干个类的技术过程。
The classification of remote image is a process that the pixels in the image are separated into some species by their characters.
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。
This paper proposes a fast algorithm for texture feature extraction. The new algorithm is suitable for remote image classification on line.
遥感监测方法多种多样。但为了确定变化类型，要引入遥感图像分类方法。
In order to determine variation types, sense-remoting image classification method should be leaded into our country.
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。
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.
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, fuzzy sets theory was applied in classification of remote sensing image, classification of remote sensing image was researched.
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 this paper, we propose an automatic multispectral remote sensing image classification technique based on improved probabilistic diffusion.
基于图像光谱信息特征分析，确定了用于贵阳市土地利用变化遥感图像分类的最佳波段组合。
Based on analyzing characteristic of spectrum, the optimum combination of bands has been established for TM image classifying to research on land-use variation in Guiyang city.
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。
The statistic classification method, which is the basis of various new classification methods, is very popular in the classification of remote sensing image.
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。
Absrtact: the main problem of remote sensing image classification is the contradiction of classification precision and algorithm complexity, and algorithm lacking of robust.
第五章为本次分类实验的具体方法和结果，展示了遥感图像分类的全过程，并分析不同分类方法的分类效果；
The fifth is concrete methods and results exhibiting the whole process of RS image classification and analyzing the efficiency of different classification methods.
对高维输入向量具有高的推广能力；比单源信息的SVM和最大似然方法图像分类精度更高，适合高空间分辨率遥感图像分类。
It has more accuration than the maximum likelihood method and SVM based on the single source data, adapts to the high spatial resolution RS Image classification.
本文提出了一种基于知识的遥感图像模糊分类算法，在传统的模糊分类方法中加入了从GIS数据库中发现的知识，用它来辅助进行遥感图像分类。
In this paper, a knowledge-based fuzzy image classification method is proposed. In the method, knowledge discovery from GIS is introduced in to assist fuzzy image classification.
据此，本文尝试提出一种简单的加入空间关系的遥感图像分类方法，即，先准确识别出海水类，然后统计非海水类的每一个像元到最近海水的空间距离。
The coastal zone is close to ocean water which can be recognized easily by its significant spectral difference from land objects in the remotely sensed images.
遥感图像分类方法通常采用监督的学习算法，它需要人工选取训练样本，比较繁琐，而且有时很难得到；而非监督学习算法的分类精度通常很难令人满意。
The supervised learning algorithm was usually used for remote sensing image classification, but its training samples need to be chosen by manual, which was boring and sometimes even difficult.
本文提出了一种遥感图像旋转不变纹理分类的新方法。
This paper puts forward a new method of invariant texture classification for remote sensing image.
最大似然法分是常规遥感图像最常用、最有效的分类方法。
Maximum likelihood classifier (MLC) is the most used and effective classification method.
超谱遥感图像的分类研究对农作物生长状况的监测、矿物的识别、海洋水色分析以及其他方面的许多应用都是很有价值的。
The study on the hyperspectral image classification is valuable to crop growth monitoring, mineral identification and seawater analysis as well as many other useful aspects.
如果能自动地从航空遥感图像中提取出道路网，将会简化城市地物目标的分类和测量过程。
The classification and measuring procedure for geometrical objects of a city will be simplified if its main road network could be automatically extracted from aerial remote sensing images.
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。
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.
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 system can be also used to class and recognize soil pattern from remote sensing image, and to examine and evaluate the classification precision.
遥感图像计算机分类的精度问题是阻碍计算机遥感信息处理系统实用化的一个关键问题。
The precision of computer classification is the main obstacle to the wide application of computer remote sensing information processing system.
遥感图像计算机分类的精度问题是阻碍计算机遥感信息处理系统实用化的一个关键问题。
The precision of computer classification is the main obstacle to the wide application of computer remote sensing information processing system.
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