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。
Shadow is one of the features in remote sensing image. It affects image matching, change detection or information extraction. But removing that is usually very hard in image processing.
阴影是遥感影像的基本特征之一，它将干扰图像匹配、图象变化检测或图像中信息的提取，而去除阴影则是遥感图像处理的难题。
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。
The simulation results with real aviation remote sensing image show that the improved method effectively keeps the image fractal features and can obtain more accurate fractal dimension.
对模拟影像及实际航空遥感影像进行仿真，结果表明：改进后的三棱柱面法较好地保留了遥感影像的分形特性，计算的分形维数也更为准确。
Hyperspectral remote sensing refers to use very narrow and continuous spectrum of remote sensing image features continuous channel of technology.
高光谱遥感是指利用很窄而连续的光谱通道对地物遥感成像的技术。
This dissertation studies on the recognition methods and related line matching algorithm for airport and bridge targets based on the linear features extracted from remote sensing image.
本文以提取遥感图像中的直线特征为基础，深入研究了机场和桥梁两种直线性目标的识别方法及有关的直线段匹配算法。
To obtain more image details, a remote sensing image fusion algorithm based on edge features was proposed.
为了获得更多的图像细节信息，提出了一种基于边缘特征的遥感图像融合算法。
A technique to construct an affine invariant descriptor for remote-sensing image registration based on the scale invariant features transform (SIFT) in a kernel space is proposed.
针对遥感图像配准，基于尺度不变特征变换(SIFT)提出了一种在核空间中构建仿射不变描述子的方法。
As there are still many difference between the remote sensing image from the same class. This paper proposes a new method of extracting features based on SFA and GLCM.
针对遥感影像中同类样本差异性较大的缺点，提出了一种基于SFA和GLCM的遥感影像特征提取方法。
As there are still many difference between the remote sensing image from the same class. This paper proposes a new method of extracting features based on SFA and GLCM.
针对遥感影像中同类样本差异性较大的缺点，提出了一种基于SFA和GLCM的遥感影像特征提取方法。
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