Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 55, Issue 7, Pages 3823-3834Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2017.2681721
Keywords
Hyperspectral image (HSI); interactive feedback; sparsity; spectral unmixing; superresolution enhancement
Categories
Funding
- National Natural Science Foundation of China [61371152, 61071172, 61374162]
- National Natural Science Foundation of China
- South Korean National Research Foundation Joint Funded Cooperation Program [61511140292]
- New Century Excellent Talents Award Program from the Ministry of Education of China [NCET-12-0464]
- Ministry of Education Scientific Research Foundation for the Returned Overseas
- Fundamental Research Funds for the Central Universities [3102015ZY045]
- China Scholarship Council [201506290120]
- Innovation Foundation of Doctor Dissertation of Northwestern Polytechnical University [CX201621]
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This paper presents an interactive feedback scheme of spatial resolution enhancement and spectral unmixing in hyperspectral imaging. Traditionally spatial resolution enhancement and spectral unmixing operations have been carried out separately, often in series. In such sequential processing, spatially enhanced hyperspectral images (HSIs) may introduce distortion in spectral fidelity making spectral unmixing results unreliable, or vice versa. Since both high-and low-resolution HSIs have the same endmembers, the deviation in spectral unmixing between targets and estimated high-resolution HSIs can be used as feedback to control spatial resolution enhancement. The spatial difference before and after unmixing can also be used as feedback to enhance spectral unmixing. Therefore, spectral unmixing is utilized as a constraint to spatial resolution enhancement, while spatial resolution enhancement helps improve spectral unmixing results. The performance of spatial resolution enhancement and spectral unmixing can be improved since one behaves like a prior to the other. Experimental results on both simulated and real HSI data sets demonstrate that the proposed interactive feedback scheme simultaneously achieved spatial resolution enhancement and spectral unmixing fidelity. This paper is an extended version of the previous work.
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