提出了一种基于多特征的遥感分类方法。
In this paper, a new method, namely the multi feature based method, was presented to classify remotely sensed imagery.
在地形复杂地区，采用传统的遥感分类方法进行土地利用遥感分类很难获得理想的精度。
The land use classification accuracy is usually unsatisfactory in the complicated terrain area when the traditional methods are used.
支持向量机因其适用高维特征、小样本与不确定性问题的优越性，是一种极具潜力的高光谱遥感分类方法。
Support Vector Machines(SVM) is a potential hyperspectral remote sensing classification method because it is advantageous to deal with problems with high dimensions, small samples and uncertainty.
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.
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.
通过实例比较，说明本方法应用于大气遥感红外光谱数据的分类和识别时，是行之有效的。
Experimental results show that this method is more effective than local search on identification and classfication of gas's infrared remote sensing data.
利用遥感影像进行土地利用分类有多种方法和指标。
The method and index of using remote sense image to classify the land use are various.
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.
试验表明，应用电子计算机对遥感数据进行森林模式识别分类是可行的，方法灵活多样，而且精度可以保证。
It has been shown that it is feasible to classify the forest model identification by processing the remote sensing data with computer, which has high accuracy.
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。
A new automatic classification model of remote sensing image using pixel information decomposition combined with neural network classification is proposed in this paper.
针对高分辨率遥感图像舰船目标识别问题，提出了一种基于支持向量机的舰船目标分类方法。
Aiming at recognizing ship target in high resolution satellite images, a classification method based on Support Vector Machine (SVM) is proposed.
提出了基于知识发现和决策规则基础的盐碱地GIS和遥感分类的方法。
This paper presents the classification of saline soil method, based on knowledge discovery and decision supporting rule base systems using remotely sensed data and GIS.
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.
本文着重介绍在遥感影象分类中应用数字地面模型（DTM）改正地物反射光谱中地形影响的方法和试验。
In this paper the methods and experiments for applying the digital terrain model(DTM) to improve the classification accuracy are introduced.
组合方法在不同景观特征地区的遥感分类中具有相同的性能特征。
The method of combining multiple classifiers developed in this paper has the same performance in classification of remote sensing images which have different landscape characteristics.
实验表明，该方法是一种由遥感分类图自动转换成g IS通用数据的高效方案。
Finally, the experiment demonstrates that the method is a highly efficient scheme to automatically convert classified raster map to general format GIS data.
应用陆地卫星TM资料和遥感图像处理ENVI3.2软件，以监督分类波谱角法、人机交互等方法提取冬小麦面积及分布信息。
Using TM data and image process software ENVI3.2, the winter wheat area and distribution information were obtained by methods of Spectral Angle Mapper and man machine interactive interpretation etc.
传统统计模式识别方法进行遥感影像分类时要求数据服从正态分布且难以加入地理辅助数据。
The traditional statistical classifier is suitable in making RS image classification in normal distribution and unsuitable in doing with the data in discrete distribution, such as the geographic data.
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.
遥感图像的自动分类方法一般基于图像的统计信息。
The automatic classification methods for remote sensing images are usually based on statistic information of the images.
本文结合第四纪沉积物类型的划分，讨论了遥感分类中最佳波段和波段组合的选取以及特征空间的扩充方法。
The optimum selection of bands and its combinations in remote sensing classification and the method for expanding feature space are presented.
实验结果表明，本文给出的高光谱遥感影像优化分类波段组合选择方法是非常有效的。
The experiment results indicate that the optimal classification bands combination selecting approach supplied in this paper is quite effective.
介绍了干旱区土壤遥感分类识别推理决策器的设计原理与实现方法。
This paper presents design principle and realizable approach of Classification and Recognition Inference Decider for Soil Remote Sensing in arid land.
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。
The spatial information of the image and evidence theory is applied to classification of remote sensing image based on neural networks.
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。
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。
Remote sensing classification is the main method of the analysis of remote sensing data and very important research content in remote sensing image procession.
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