This indicates that BP Neural Network method is an effective wetland classification method, and it can improve the classification accuracy of Remote Sensing images.
结果表明：BP神经网络分类法是一种有效的湿地分类技术，能够提高分类精度。
This paper describes the problem in the BP neural network approach and the approach of BP neural network based on vector information to the classification of remote sensing images.
由于传统遥感影像分类方法存在不足，因而采用神经网络算法进行遥感影像分类研究。
Remote sensing images information extraction is a major content in the remote sensing images research field, and it is also the subject of the study in the pattern classification.
遥感信息提取是遥感图像处理研究领域中的一项主要内容，也是模式分类范畴研究的课题。
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.
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 method of combining multiple classifiers developed in this paper has the same performance in classification of remote sensing images which have different landscape characteristics.
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。
In addition, the spectral selection based on the image's feature and experience is also an effective way to improve the classification of hyper-spectral remote sensing images.
另外，根据图像特征和经验对图像进行波段选择，也是改善高光谱遥感分类效果的有效途径。
Therefore, it is theoretically and practically significant to study the method of combining multiple classifiers and explore its application in automatic classification of remote sensing images.
因此，进行多分类器组合研究，探讨其在遥感影像自动分类中的应用，具有重要的理论与实践意义。
The destination of this thesis is to improve the pattern recognition algorithm for the classification to the land-use of urban blocks on remote-sensing images.
城市街区用地类型的普查自动化多年以来一直是遥感模式识别的重点研究目标。
This paper proposes a kernel function - hierarchical log-polar matching kernel which making use of the feature spatial information for building classification in remote sensing images.
提出了一种利用图像特征空间信息的核函数——层次对数极坐标匹配核，用于遥感图像建筑物目标的分类。
The automatic classification methods for remote sensing images are usually based on statistic information of the images.
遥感图像的自动分类方法一般基于图像的统计信息。
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。
The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images.
提出一种利用光谱滤波器进行遥感图像混合像元全约束分解的新算法。
The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images.
提出一种利用光谱滤波器进行遥感图像混合像元全约束分解的新算法。
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