Optimal Band Selection Using Evolutionary Machine Learning to Improve the Accuracy of Hyper-spectral Images Classification: a Novel Migration-Based Particle Swarm Optimization

IF 1.8 4区计算机科学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Journal of Classification Pub Date : 2023-09-16 DOI:10.1007/s00357-023-09448-w

Milad Vahidi, Sina Aghakhani, Diego Martín, Hossein Aminzadeh, Mehrdad Kaveh

引用次数: 0

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利用进化机器学习优化波段选择提高高光谱图像分类精度:一种新的基于迁移的粒子群优化方法

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来源期刊

Journal of Classification 数学-数学跨学科应用

CiteScore

3.60

自引率

5.00%

发文量

审稿时长

>12 weeks

期刊介绍： To publish original and valuable papers in the field of classification, numerical taxonomy, multidimensional scaling and other ordination techniques, clustering, tree structures and other network models (with somewhat less emphasis on principal components analysis, factor analysis, and discriminant analysis), as well as associated models and algorithms for fitting them. Articles will support advances in methodology while demonstrating compelling substantive applications. Comprehensive review articles are also acceptable. Contributions will represent disciplines such as statistics, psychology, biology, information retrieval, anthropology, archeology, astronomy, business, chemistry, computer science, economics, engineering, geography, geology, linguistics, marketing, mathematics, medicine, political science, psychiatry, sociology, and soil science.