Abstract
Multi- and hyperspectral imaging modalities encompass a growing number of spectral techniques that find many applications in geospatial, biomedical and machine vision fields. The rapidly increasing number of applications requires a convenient easy-to-navigate software that can be used by new and experienced users to analyze data, develop, apply, and deploy novel algorithms. Herein, we present our platform, IDCube that performs essential operations in hyperspectral data analysis to realize the full potential of spectral imaging. The strength of the software lies in its interactive features that enable the users to optimize parameters and obtain visual input for the user. The entire software can be operated without any prior programming skills allowing interactive sessions of raw and processed data. IDCube Lite, a free version of the software described in the paper, has many benefits compared to existing packages and offers structural flexibility to discover new hidden features.
Highlights
Multi- and hyperspectral imaging (HSI) modalities have emerged as an exciting opportunity to explore optical properties of objects and discover hidden features not accessible by other techniques
In contrast to the traditional spatial images produced by conventional cameras, spectral imaging generates 3D datasets, with spatial and spectral dimensions
With each pixel containing information on the entire medium or high- resolution spectrum, spectral imaging provides abundant information about individual chromophores and their interactions that contribute to the location, intensity and alteration of the optical signal, significantly better than monochromatic or traditional colour cameras.[1,2]
Summary
Follow this and additional works at: https://bearworks.missouristate.edu/articles-coal. Recommended Citation Mishra, Deependra, Helena Hurbon, John Wang, Steven T. Authors Deependra Mishra; Helena Hurbon; John Wang; Steven T. Wang; Tommy Du; Qian Wu; David Kim; Shiva Basir; Maria Gerasimchuk-Djordjevic; and For complete list of authors, see publisher's website. This article is available at BearWorks: https://bearworks.missouristate.edu/articles-coal/312
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