Interactive analysis of multi-spectral images using a Hilbert curve
Interactive analysis of multi-spectral images using a Hilbert curve
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使用希尔伯特曲线对多光谱图像进行交互式分析
DOI：
10.1109/icpr.1994.576234
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
E. Kawaguchi
中科院分区：
文献类型：
--
作者：
S. Kamata;M. Niimi;E. Kawaguchi
在遥感研究中，多光谱图像的交互分析有许多新的发展。一般来说，使用的方法是线性变换，如主成分分析。本文提出了一种新的交互式多光谱图像分类方法，该方法利用希尔伯特曲线进行一对一映射，并尽可能地保持邻域。该方法是基于一个层次的直方图表示与不同的分辨率映射的一维数据。该表达式可以很容易地进行分类，而不是直接使用N维数据。为了实现系统的真实的时间响应，作者利用数据表存储地址和数据出现次数等信息。这里的地址是用N维空间中的坐标定义的，并利用它来处理一部分不能保持邻域的映射。在利用LANDSAT图像数据的实验中，证实了用户只需一次制作数据表，就能得到系统的真实的时间响应。
There have been many new developments in interactive analysis for multi-spectral images in the research of remote sensing. In general, the methods used are linear transformations such as principal component analysis. In this paper, the authors present a new interactive method for classifying multi-spectral images using a Hilbert curve which is a one-to-one mapping and preserves the neighborhood as much as possible. This method is based on a hierarchical histogram expression with different resolutions for the mapped one-dimensional data. The classification on this expression can be performed easily instead of using N-dimensional data directly. In order to realize the real time response from the system, the authors make use of data tables storing the addresses and the occurrences of data, etc. Here the address is defined by using the coordinates in N-dimensional space, and is made use of dealing with a part of mapping which can not preserve the neighborhood. In the experiments using LANDSAT image data, it is confirmed that the user can get the real time response from the system after once making the data tables.