Joint hyperspectral superresolution and unmixing with interactive feedback

Chen Yi, Yong Qiang Zhao, Jingxiang Yang, Jonathan Cheung Wai Chan, Seong G. Kong

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

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.

Original languageEnglish
Article number7893730
Pages (from-to)3823-3834
Number of pages12
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume55
Issue number7
DOIs
StatePublished - Jul 2017

Keywords

  • Hyperspectral image (HSI)
  • Interactive feedback
  • Sparsity
  • Spectral unmixing
  • Superresolution enhancement

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