Quasiconformal Mapping Kernel Machine Learning-Based Intelligent Hyperspectral Data Classification for Internet Information Retrieval
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Intelligent internet data mining is an important application of AIoT (Artificial Intelligence of Things), and it is necessary to construct large training samples with the data from the internet, including images, videos, and other information.
Among them, a hyperspectral database is also necessary for image processing and machine learning.
The internet environment provides abundant hyperspectral data resources, but the hyperspectral data have no class labels and no so high value for applications.
So, it is important to label the class information for these hyperspectral data through machine learning-based classification.
In this paper, we present a quasiconformal mapping kernel machine learning-based intelligent hyperspectral data classification algorithm for internet-based hyperspectral data retrieval.
The contributions include three points: the quasiconformal mapping-based multiple kernel learning network framework is proposed for hyperspectral data classification, the Mahalanobis distance kernel function is as the network nodes with the higher discriminative ability than Euclidean distance-based kernel function learning, and the objective function of measuring the class discriminative ability is proposed to seek the optimal parameters of the quasiconformal mapping projection.
Experiments show that the proposed scheme is effective for hyperspectral image classification and retrieval.
American Psychological Association (APA)
Liu, Jing& Qiao, Yulong. 2020. Quasiconformal Mapping Kernel Machine Learning-Based Intelligent Hyperspectral Data Classification for Internet Information Retrieval. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1214825
Modern Language Association (MLA)
Liu, Jing& Qiao, Yulong. Quasiconformal Mapping Kernel Machine Learning-Based Intelligent Hyperspectral Data Classification for Internet Information Retrieval. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1214825
American Medical Association (AMA)
Liu, Jing& Qiao, Yulong. Quasiconformal Mapping Kernel Machine Learning-Based Intelligent Hyperspectral Data Classification for Internet Information Retrieval. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1214825
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214825