The method surmounts some shortcomings of using Remote Sensing image Digital Elevation Model, such as the complicated data structure, the slower image formative speed and so on.
它克服了通常作战仿真中采用遥感影像式数字高程模拟方法，数据结构复杂，图形生成速度慢等不足。
In order to get interested images from vast Remote Sensing images, it is necessary to retrieve image based on content by using features in RS image.
为了从海量遥感影像库中提取需要的图象，必须应用影像本身具有的特征实施基于内容的遥感影像检索。
In this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network.
针对遥感图象分类的特点，提出了一种径向基函数神经网络的遥感图象分类器。
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