Various Deep Learning Methods for Hyperspectral Images
Image processing; Learning systems; Remote sensing; Spectroscopy; Hyper-spectral imageries; Image processing technique; Learning methods; Learning process; Learning techniques; Models of learning; Remote sensing applications; Spectral channels; Deep learning
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Institute of Electrical and Electronics Engineers Inc.
2023
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| _version_ | 1833411026604785664 |
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| author | Sivaram M. Shobana S.J. Khan M. Ramakrishnan J. Goel P.M. Maseleno A. |
| author2 | 55220262500 |
| author_facet | 55220262500 Sivaram M. Shobana S.J. Khan M. Ramakrishnan J. Goel P.M. Maseleno A. |
| author_sort | Sivaram M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Image processing; Learning systems; Remote sensing; Spectroscopy; Hyper-spectral imageries; Image processing technique; Learning methods; Learning process; Learning techniques; Models of learning; Remote sensing applications; Spectral channels; Deep learning |
| format | Conference Paper |
| id | my.uniten.dspace-25250 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-252502023-05-29T16:07:35Z Various Deep Learning Methods for Hyperspectral Images Sivaram M. Shobana S.J. Khan M. Ramakrishnan J. Goel P.M. Maseleno A. 55220262500 57214569088 57221164010 57210390182 57193135177 55354910900 Image processing; Learning systems; Remote sensing; Spectroscopy; Hyper-spectral imageries; Image processing technique; Learning methods; Learning process; Learning techniques; Models of learning; Remote sensing applications; Spectral channels; Deep learning Hyperspectral imagery is widely used in remote sensing applications that take into account thousands of spectral channel compositions over a single scene. Hyperspectral imagery requires accurate models of learning to extract the hyperspectral features in an image. Due to the presence of its spatial and spectral resolution, the image learning model presents a core challenge due to its complicated nature of image frames. In order to assist it during the learning process, several attempts have been made to address its complicated nature. However, these methods failed to provide the hyperspectral imagery with a deeper understanding. Because of the presence of mixed pixels, limited training samples and redundant data, the utilization of deep learning techniques addresses the problems. The deep learning process addresses the complex image data relationship. In this paper, various deep learning methods are studied which are used for the learning of hyperspectral imagery. Initially, we present an overview on various deep learning methods for various image processing techniques. A system review is then carried out on various hyperspectral image learning models based on deep learning. � 2020 IEEE. Final 2023-05-29T08:07:35Z 2023-05-29T08:07:35Z 2020 Conference Paper 10.1109/ICCIT-144147971.2020.9213763 2-s2.0-85098459029 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098459029&doi=10.1109%2fICCIT-144147971.2020.9213763&partnerID=40&md5=dab878b28d3513e2b9df0c95c6e5a007 https://irepository.uniten.edu.my/handle/123456789/25250 9213763 Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Sivaram M. Shobana S.J. Khan M. Ramakrishnan J. Goel P.M. Maseleno A. Various Deep Learning Methods for Hyperspectral Images |
| title | Various Deep Learning Methods for Hyperspectral Images |
| title_full | Various Deep Learning Methods for Hyperspectral Images |
| title_fullStr | Various Deep Learning Methods for Hyperspectral Images |
| title_full_unstemmed | Various Deep Learning Methods for Hyperspectral Images |
| title_short | Various Deep Learning Methods for Hyperspectral Images |
| title_sort | various deep learning methods for hyperspectral images |
| url_provider | http://dspace.uniten.edu.my/ |