In this paper, we present two different systems that acquire hyperspectral images with less samples than the actual number of pixels, i.e. in a low dimensional ...
Both approaches are compared with conventionally captured images with respect to image quality and classification accuracy. Our results based on real data show ...
In this paper, we present two different systems that acquire hyperspectral images with less samples than the actual number of pixels, i.e. in a low dimensional ...
Compressive sensing and adaptive direct sampling in hyperspectral imaging. Overview of attention for article published in Digital Signal Processing, March ...
PDF | Compressive sensing (sampling) is a novel technology and science domain that exploits the option to sample radiometric and spectroscopic signals.
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Jul 24, 2021 · Multitrack adaptive CS has a ∼10 times shorter measurement plus reconstruction time as compared to full sampling HSI without compromising ...
The sensing approach enables a substantial reduction in the volume of data collected and transmitted, facilitating large-scale remote hyperspectral imaging. A ...
An efficient method and system for compressive sensing of hyperspectral data is presented. Compression efficiency is achieved by randomly encoding both the ...
Feb 17, 2024 · In the sampling process, however, the signal encoding and compression happens only in the spectral dimension and not in the spatial dimension.
Apr 17, 2024 · We advance the practical development of compressive hyperspectral cameras, designed to capture high-quality spectral information of a scene ...