基于矩阵特征值在卫星遥感图像处理中的应用研究

Application of matrix eigenvalues in satellite remote sensing image processing

随着电脑的大众化和软件技术的提高,从事遥感研究的学者们开始使用新的技术方法来提取遥感信息,但是在这个遥感图像处理的过程中,由于诸多因素,图像的几何学歪曲变得不清晰,其中一些方法也导致了图像质量的下降或降低。作为信息化时代的产品和工具,矩阵特征值在遥感图像处理的研究中具有广泛的感知范围、快速获取信息以及丰富的信息等重要的优点,对遥感图像进行特征提取研究是非常实用的,且具有实际意义和良好的职业前景。因此,本文将会对矩阵特征值在卫星遥感图像处理进行深入探究。

With the improvement of the popularization of computer and software technology,engaged in remote sensing research scholars began to use new technology and methods to remote sensing information extraction,but the gain in the process of remote sensing satellite remote sensing images,due to many factors,the geometry distorted image blurs,and sampling method also leads to a decline in image quality or lower.As a product and tool in the information age,matrix eigenvalues have many important advantages in the research of remote sensing image processing,such as wide range of perception,rapid acquisition of information and abundant information,etc.It is very practical to carry out feature extraction research on remote sensing image,and it has practical significance and a good career prospect.Therefore,this paper will deeply explore the matrix eigenvalues in satellite remote sensing image processing.