SISR of hyperspectral remote sensing imagery using 3D encoder-decoder RUNet architecture
Aburaed, Nour and Alkhatib, Mohammed Q. and Marshall, Stephen and Zabalza, Jaime and Ahmad, Hussain Al; (2022) SISR of hyperspectral remote sensing imagery using 3D encoder-decoder RUNet architecture. In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. International Geoscience and Remote Sensing Symposium (IGARSS) . IEEE, MYS, pp. 1516-1519. ISBN 9781665427920 (https://doi.org/10.1109/igarss46834.2022.9883578)
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Abstract
Single Image Super Resolution (SISR) refers to the spatial enhancement of an image from a single Low Resolution (LR) observation. This topic is of particular interest to remote sensing community, especially in the area of Hyperspectral Imagery (HSI) due to their high spectral resolution but limited spatial resolution. Enhancing the spatial resolution of HSI is a pre-requisite that boosts the accuracy of other image processing tasks, such as object detection and classification. This paper deals with SISR of HSI through the 3D expansion of Robust UNet (RUNet). The network is developed, trained, and tested over two datasets, and compared against the original 2D-RUNet and other state-of-the-art approaches. Quantitative and qualitative evaluation show the superiority of 3D-RUNet and its ability to preserve the spectral fidelity of the enhanced HSI.
ORCID iDs
Aburaed, Nour ORCID: https://orcid.org/0000-0002-5906-0249, Alkhatib, Mohammed Q., Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628, Zabalza, Jaime ORCID: https://orcid.org/0000-0002-0634-1725 and Ahmad, Hussain Al;-
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Item type: Book Section ID code: 82822 Dates: DateEvent28 September 2022Published22 July 2022Published Online4 April 2022AcceptedNotes: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 18 Oct 2022 13:43 Last modified: 04 Oct 2024 00:13 URI: https://strathprints.strath.ac.uk/id/eprint/82822