Catadioptric hyperspectral imaging, an unmixing approach
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 appli...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-10-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2019.0784 |
| _version_ | 1797684627149684736 |
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| author | Didem Ozisik Baskurt Yalin Bastanlar Yasemin Yardimci Cetin |
| author_facet | Didem Ozisik Baskurt Yalin Bastanlar Yasemin Yardimci Cetin |
| author_sort | Didem Ozisik Baskurt |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T00:33:25Z |
| format | Article |
| id | doaj.art-b8f8aca293f7471c92e3503ec625dbe5 |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:33:25Z |
| publishDate | 2020-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-b8f8aca293f7471c92e3503ec625dbe52023-09-15T10:11:27ZengWileyIET Computer Vision1751-96321751-96402020-10-0114749350410.1049/iet-cvi.2019.0784Catadioptric hyperspectral imaging, an unmixing approachDidem Ozisik Baskurt0Yalin Bastanlar1Yasemin Yardimci Cetin2METU Informatics InstituteUniversiteler MahallesiDumlupınar Bulvarı, No:106800AnkaraTurkeyComputer Engineering DepartmentIZTECHGulbahce35430UrlaİzmirTurkeyMETU Informatics InstituteUniversiteler MahallesiDumlupınar Bulvarı, No:106800AnkaraTurkeyHyperspectral 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.https://doi.org/10.1049/iet-cvi.2019.0784dense spectral informationremote sensing applicationsspatial resolutionhyperspectral camerascatadioptric omnidirectional imaging systemsspatial–contextual unmixing algorithm |
| spellingShingle | Didem Ozisik Baskurt Yalin Bastanlar Yasemin Yardimci Cetin Catadioptric hyperspectral imaging, an unmixing approach IET Computer Vision dense spectral information remote sensing applications spatial resolution hyperspectral cameras catadioptric omnidirectional imaging systems spatial–contextual unmixing algorithm |
| title | Catadioptric hyperspectral imaging, an unmixing approach |
| title_full | Catadioptric hyperspectral imaging, an unmixing approach |
| title_fullStr | Catadioptric hyperspectral imaging, an unmixing approach |
| title_full_unstemmed | Catadioptric hyperspectral imaging, an unmixing approach |
| title_short | Catadioptric hyperspectral imaging, an unmixing approach |
| title_sort | catadioptric hyperspectral imaging an unmixing approach |
| topic | dense spectral information remote sensing applications spatial resolution hyperspectral cameras catadioptric omnidirectional imaging systems spatial–contextual unmixing algorithm |
| url | https://doi.org/10.1049/iet-cvi.2019.0784 |
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