NDLI: Catadioptric hyperspectral imaging, an unmixing approach

Content Provider	IET Digital Library
Author	Baskurt, Didem Ozisik Bastanlar, Yalin Cetin, Yasemin Yardimci
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.
Starting Page	493
Ending Page	504
Page Count	12
ISSN	17519632
Volume Number	14
e-ISSN	17519640
Issue Number	Issue 7, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/14/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2019.0784
Journal	IET Computer Vision
Publisher Date	2020-05-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Camera Catadioptric Hyperspectral Imaging System Catadioptric Omnidirectional Imaging System Computer Vision And Image Processing Technique Dense Spectral Information Electromagnetic Spectrum Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing Hyperspectral Cameras Hyperspectral Image Image Resolution Image Sonsor Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Mirror Optical Lenses And Mirrors Optical, Image And Video Signal Processing Remote Sensing Remote Sensing Application Spatial Resolution Spatial–contextual Unmixing Algorithm
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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