多光谱图像
计算机科学
数据科学
光学(聚焦)
大数据
知识抽取
卫星图像
数据挖掘
外部数据表示
数据管理
遥感
情报检索
人工智能
地理
物理
光学
作者
Sin Liang Lim,Jaya Sreevalsan‐Nair,B. S. Daya Sagar
摘要
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. This article is categorized under: Application Areas > Science and Technology Fundamental Concepts of Data and Knowledge > Knowledge Representation Fundamental Concepts of Data and Knowledge > Big Data Mining
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