Special Issue "Hyper- and Multi-Spectral Imaging"
Deadline for manuscript submissions: closed (30 June 2018)
Prof. Dr. Costas Balas
Department of Electronic and Computer Engineering, Technical University of Crete, Chania 73100, Greece
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Interests: hyper-multi-spectral imaging; chemical imaging; optical spectroscopy; mid-IR imaging spectroscopy; biophotonics; biomedical optical imaging; dynamic contrast enhanced bio-imaging; fluorescence microscopy; optical diagnosis of neoplasia; in silico modeling of bio-optical processes; biomedical device instrumentation; imaging systems and methods for nondestructive analysis
Spectral Imaging (SI) combines the advantages of both imaging and spectroscopy (high spatial and spectral resolution) in a single instrument. In SI, light intensity is recorded as a function of both wavelength and location. The output is a three-dimensional data structure known as spectral cube, with each pixel representing the spectrum of the scene at that point.
Most recent developments include snapshot or single exposure SI cameras, which capture the images of the spectral cube simultaneously or, alternatively, spectral cube streams at nearly video rates. Dynamic SI implies that light intensity can now be recorded as a function of time, wavelength, polarization, two or more spatial locations, etc.
Adding new dimensions to the data structure is motivated by the steep expansion of SI applications, which are increasingly migrating from defense/satellite domain towards prevalently civilian uses. On the other hand, and for the purpose of handling the generated massive data volume, SI motivates the development of advanced and fast classification, spectral unmixing and data reduction algorithms, spectral class visualization techniques, etc. SI is rapidly developing because numerus diverse disciplines have joined efforts towards further advancing technologies and expanding applications. Opto-and micro-electronics, computation imaging, analytical sciences, remote sensing, non-destructive testing, biomedical imaging are the disciplines that have been instrumental to these developments.
We invite investigators to contribute original research articles, as well as review articles, that will stimulate the continuing efforts in the field of SI.
Potential topics include, but are not limited to:
- Snapshot or scanning spectral imaging camera systems
- SI-related computational imaging, machine learning, data mining, spectral classification, spectral unmixing, data reduction
Prof. Costas Balas
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Hyper-Spectral Imaging
- Multi-Spectral Imaging
- Snap-Shot Spectral Imaging
- Spectral Cube Data Analysis/Processing
- Remote sensing
- Non-Destructive Testing