Segmentation Algorithm of Multispectral Images
Q3 Mathematics
引用次数: 0
Abstract
An algorithm for the segmentation of multispectral images is presented. First the algorithm performs a preliminary estimate of the number of segments, then the image is divided into segments using a noniterative version of the k-means method. Next, statistical analysis is performed; segment pairs that are realizations of the same random vector are found and merged. The results of testing the algorithm on model and real (HYPERION sensor) data are presented. Partitions of real images, whose segments correspond to various elements of the landscape, are shown.
多光谱图像的分割算法
摘要 介绍了一种多光谱图像分割算法。首先，该算法对图像分割数进行初步估算，然后使用非迭代版本的 k-means 方法将图像分割成若干分割段。接着，进行统计分析；找到相同随机向量的线段对并将其合并。本文介绍了在模型和真实（HYPERION 传感器）数据上测试该算法的结果。图中显示了真实图像的分区，这些分区对应于景观的各种元素。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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来源期刊
Mathematical Models and Computer Simulations
Mathematics-Computational Mathematics
CiteScore
1.20
自引率
0.00%
发文量
99
期刊介绍：
Mathematical Models and Computer Simulations is a journal that publishes high-quality and original articles at the forefront of development of mathematical models, numerical methods, computer-assisted studies in science and engineering with the potential for impact across the sciences, and construction of massively parallel codes for supercomputers. The problem-oriented papers are devoted to various problems including industrial mathematics, numerical simulation in multiscale and multiphysics, materials science, chemistry, economics, social, and life sciences.
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