Hyperspectral (HS) imaging involves the sensing of a scene’s spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging. This article provides a review of the Compressive Sensing Miniature Ultra-Spectral Imaging (CS-MUSI) camera, its evolution, and its different applications. The CS-MUSI camera was designed within the CS framework and uses a liquid crystal (LC) phase retarder in order to modulate the spectral domain. The outstanding advantage of the CS-MUSI camera is that the entire HS image is captured from an order of magnitude fewer measurements of the sensor array, compared to conventional HS imaging methods.

In this Letter, we present a method for hyperspectral imaging of three-dimensional objects. A compressive sensing approach is utilized to remedy the acquisition effort required to capture the large amount of data. The spectral dimension is compressively sensed by means of a liquid crystal-based encoder, and the volumetric data are captured using a synthetic aperture integral imaging setup. We demonstrate reconstruction of spectro-volumetric tesseracts with hundreds of spectral bands at different depths without compromise of spatial resolution.

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Low carbon ferrite-bainite pipe steels of the K65 (Kh80) strength grade produced by two manu facturing companies have been studied using different mechanical tests and fractographic analysis of frac tured surfaces. The results demonstrate that the energy capacity a (a c ) and the true relative reduction at frac ture ϕ f upon tensile tests, as well as the level of KCV -40 ≥ 250 J/cm 2 and the relative width of the zone of homo geneous ductile fracture L C /B at the fracture surface of Charpy samples upon impact bending tests, can be used as the laboratory criteria of crack resistance.

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