Hyperspectral image analysis using a custom spectral convolutional neural network
Joint Authors
Ubayd, Halah Muhammad
Tulbah, Muhammad F.
al-Dahshan, al-Sayyid A.
Shafii, Mayyar A.
Salim, Muhammad A. M.
al-Birri, Maryam N.
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 22, Issue 4 (31 Dec. 2022), pp.146-158, 13 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2022-12-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In recent time, the most applied classification method for hyperspectral images is based on the supervised deep learning approach.
the hyperspectral images require special handling while it consists of hundreds of bands / channels.
in this article, the experiments are conducted using one of the widespread deep learning models, convolutional neural networks (CNNs), specifically, csutom spectral CNN architecture (CSCNN).
the introduced network is based on the data reduction and data normalization.
it firstly ommits the unnecessary data channels and retains the meaningful ones.
then, it passes the remaining data through the CNN layers (convolutional, rectified linear unit, fully connected, dropout,…etc) until reaches the classification layer.
the experiments are applied on four benchmarcks [hyperspectral datasets], namely, Salinas-A, kenndy space center (KSC), Indian Pines (IP), and Pavia university (Pavia-U).
the proposed model achieved an overall accuracy more than 99.50%.
in last, a comparison versus the state of the art is also introduced.
American Psychological Association (APA)
Shafii, Mayyar A.& al-Birri, Maryam N.& Salim, Muhammad A. M.& Ubayd, Halah Muhammad& al-Dahshan, al-Sayyid A.& Tulbah, Muhammad F.. 2022. Hyperspectral image analysis using a custom spectral convolutional neural network. International Journal of Intelligent Computing and Information Sciences،Vol. 22, no. 4, pp.146-158.
https://search.emarefa.net/detail/BIM-1444918
Modern Language Association (MLA)
Shafii, Mayyar A.…[et al.]. Hyperspectral image analysis using a custom spectral convolutional neural network. International Journal of Intelligent Computing and Information Sciences Vol. 22, no. 4 (Dec. 2022), pp.146-158.
https://search.emarefa.net/detail/BIM-1444918
American Medical Association (AMA)
Shafii, Mayyar A.& al-Birri, Maryam N.& Salim, Muhammad A. M.& Ubayd, Halah Muhammad& al-Dahshan, al-Sayyid A.& Tulbah, Muhammad F.. Hyperspectral image analysis using a custom spectral convolutional neural network. International Journal of Intelligent Computing and Information Sciences. 2022. Vol. 22, no. 4, pp.146-158.
https://search.emarefa.net/detail/BIM-1444918
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 157-158
Record ID
BIM-1444918