Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10413
Title: Catadioptric hyperspectral imaging, an unmixing approach
Authors: Özışık Başkurt, Didem
Baştanlar, Yalın
Yardımcı Çetin, Yasemin
Baştanlar, Yalın
Izmir Institute of Technology. Computer Engineering
Issue Date: 2020
Publisher: Institution of Engineering and Technology
Abstract: Hyperspectral imaging systems provide dense spectral information on the scene under investigation by collecting data from a high number of contiguous bands of the electromagnetic spectrum. The low spatial resolutions of these sensors frequently give rise to the mixing problem in remote sensing applications. Several unmixing approaches are developed in order to handle the challenging mixing problem on perspective images. On the other hand, omnidirectional imaging systems provide a 360-degree field of view in a single image at the expense of lower spatial resolution. In this study, we propose a novel imaging system which integrates hyperspectral cameras with mirrors so on to yield catadioptric omnidirectional imaging systems to benefit from the advantages of both modes. Catadioptric images, incorporating a camera with a reflecting device, introduce radial warping depending on the structure of the mirror used in the system. This warping causes a non-uniformity in the spatial resolution which further complicates the unmixing problem. In this context, a novel spatial-contextual unmixing algorithm specifically for the large field of view of the hyperspectral imaging system is developed. The proposed algorithm is evaluated on various real-world and simulated cases. The experimental results show that the proposed approach outperforms compared methods.
URI: https://doi.org/10.1049/iet-cvi.2019.0784
https://hdl.handle.net/10413
ISSN: 1751-9632
1751-9640
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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