Our experiments demonstrate that a hyperspectral image can be reconstructed using only 10% of the samples without compromising classification performance.
[PDF] a framework for an artificial neural network enabled single pixel
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May 23, 2020 · The proposed framework contributes to advance single- pixel hyperspectral imaging device methodologies, which en- able a significant reduction ...
In this research work, proposed a robust classification framework for HSI classification by training convolution neural networks with Gabor embedded patches.
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Nov 22, 2023 · A physics-driven generative adversarial network (GAN) was established here for single-pixel hyperspectral imaging (HSI) in the infrared spectrum.
In this article, we perform a single-pixel HSI experiment based on an untrained convolutional neural network (CNN) at an ultralow sampling rate.
Aug 14, 2024 · This work shows the innovative combination of single-pixel microscopy with hyperspectral imaging. An affordable hyperspectral microscope is able ...
On top of the new SPPF, we further propose a flexible multi-stream CNN-based classification framework that is compatible with multiple in-stream sub-network ...
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A physics-driven convolutional neural network (CNN) was integrated with a single-pixel HSI model to achieve high-quality image reconstruction across a wide ...
Feb 17, 2024 · We report a video-rate hyperspectral imager based on a single-pixel photodetector which can achieve high-throughput hyperspectral video recording at a low ...
Jul 26, 2024 · HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub-.
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