Multispectral data mining: A focus on remote sensing satellite images
Article Type
Review Article
Publication Title
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
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.
DOI
10.1002/widm.1522
Publication Date
3-1-2024
Recommended Citation
Lim, Sin Liang; Sreevalsan-Nair, Jaya; and Daya Sagar, B. S., "Multispectral data mining: A focus on remote sensing satellite images" (2024). Journal Articles. 4917.
https://digitalcommons.isical.ac.in/journal-articles/4917