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A New Methodology for Spectral-Spatial Classification of Hyperspectral Images
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Recent developments in hyperspectral images have heightened the need for advanced classification methods.
To reach this goal, this paper proposed an improved spectral-spatial method for hyperspectral image classification.
The proposed method mainly consists of three steps.
First, four band selection strategies are proposed to utilize the statistical region merging (SRM) method to segment the hyperspectral image.
The segmentation map is subsequently integrated with the pixel-wise classification method to classify the hyperspectral image.
Finally, the final classification result is obtained using the decision fusion rule.
Validation tests are performed to evaluate the performance of the proposed approach, and the results indicate that the new proposed approach outperforms the state-of-the-art methods.
American Psychological Association (APA)
Miao, Zelang& Shi, Wenzhong. 2015. A New Methodology for Spectral-Spatial Classification of Hyperspectral Images. Journal of Sensors،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1110327
Modern Language Association (MLA)
Miao, Zelang& Shi, Wenzhong. A New Methodology for Spectral-Spatial Classification of Hyperspectral Images. Journal of Sensors No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1110327
American Medical Association (AMA)
Miao, Zelang& Shi, Wenzhong. A New Methodology for Spectral-Spatial Classification of Hyperspectral Images. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1110327
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110327