Overview of Hyperspectral Image Classification
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-08
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
With the development of remote sensing technology, the application of hyperspectral images is becoming more and more widespread.
The accurate classification of ground features through hyperspectral images is an important research content and has attracted widespread attention.
Many methods have achieved good classification results in the classification of hyperspectral images.
This paper reviews the classification methods of hyperspectral images from three aspects: supervised classification, semisupervised classification, and unsupervised classification.
American Psychological Association (APA)
Lv, Wenjing& Wang, Xiaofei. 2020. Overview of Hyperspectral Image Classification. Journal of Sensors،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190454
Modern Language Association (MLA)
Lv, Wenjing& Wang, Xiaofei. Overview of Hyperspectral Image Classification. Journal of Sensors No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1190454
American Medical Association (AMA)
Lv, Wenjing& Wang, Xiaofei. Overview of Hyperspectral Image Classification. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1190454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190454