Multispectral data mining: A focus on remote sensing satellite images

被引:9
|
作者
Lim, Sin Liang [1 ]
Sreevalsan-Nair, Jaya [2 ]
Sagar, B. S. Daya [3 ]
机构
[1] Multimedia Univ MMU, Cyberjaya, Malaysia
[2] Int Inst Informat Technol Bangalore IIITB, Bangalore, India
[3] Indian Stat Inst ISI, Bangalore, India
关键词
multispectral data mining; multispectral imaging; remote sensing satellite images; INDEPENDENT COMPONENT ANALYSIS; DATA FUSION; ATMOSPHERIC CORRECTION; SEMISUPERVISED CLASSIFICATION; TIME-SERIES; BIG DATA; ALGORITHMS; MACHINE; LANDSAT; RESOLUTION;
D O I
10.1002/widm.1522
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article gives a brief overview of various aspects of data mining of multi spectral 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
引用
收藏
页数:42
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