JOURNAL ARTICLE

Multispectral data mining: A focus on remote sensing satellite images.

  • Published In: WIREs: Data Mining & Knowledge Discovery, 2024, v. 14, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sin Liang Lim; Sreevalsan-Nair, Jaya; Sagar, B. S. Daya 3 of 3

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 FROM AUTHOR]

Additional Information

  • Source:WIREs: Data Mining & Knowledge Discovery. 2024/03, Vol. 14, Issue 2, p1
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:1942-4787
  • DOI:10.1002/widm.1522
  • Accession Number:177464540
  • Copyright Statement:Copyright of WIREs: Data Mining & Knowledge Discovery is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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