Multispectral data mining: A focus on remote sensing satellite images

Sin Liang Lim, Jaya Sreevalsan-Nair, B. S. Daya Sagar
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Abstract

This article gives a brief overview of various aspects of data mining of multispectral image data. We focus on specifically the remote sensing satellite images acquired using multispectral imaging (MSI), given the technology used across multiple knowledge domains, such as chemistry, medical imaging, remote sensing, and so on with a sufficient amount of variation. In this article, the different data mining processes are reviewed along with state-of-the-art methods and applications. To study data mining, it is important to know how the data are acquired and preprocessed. Hence, those topics are briefly covered in the article. The article concludes with applications demonstrating the knowledge discovery from data mining, modern challenges, and promising future directions for MSI data mining research.

Abstract Image

多光谱数据挖掘:遥感卫星图像的焦点
本文简要介绍了多光谱图像数据挖掘的各个方面。我们特别关注使用多光谱成像(MSI)获得的遥感卫星图像,因为使用的技术跨越多个知识领域,如化学、医学成像、遥感等,具有足够的变化量。在本文中,将介绍不同的数据挖掘过程以及最新的方法和应用程序。为了研究数据挖掘,了解如何获取和预处理数据是很重要的。因此,本文将简要介绍这些主题。文章最后展示了数据挖掘的知识发现、现代挑战以及MSI数据挖掘研究的未来方向。
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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