ps kappa dx4 hyperspectral camera Search Results


90
Specim Spectral Imaging ps kappa dx4 hyperspectral camera
Visual comparison of the <t>hyperspectral</t> recovery of four selected images at 570 nm from the ICVL dataset . From top to bottom: sparse coding , SCAUNet-GAN , SAPUNet-GAN, SAPWNet-GAN, and ground-truth.
Ps Kappa Dx4 Hyperspectral Camera, supplied by Specim Spectral Imaging, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Visual comparison of the hyperspectral recovery of four selected images at 570 nm from the ICVL dataset . From top to bottom: sparse coding , SCAUNet-GAN , SAPUNet-GAN, SAPWNet-GAN, and ground-truth.

Journal: Sensors (Basel, Switzerland)

Article Title: Adversarial Networks for Scale Feature-Attention Spectral Image Reconstruction from a Single RGB

doi: 10.3390/s20082426

Figure Lengend Snippet: Visual comparison of the hyperspectral recovery of four selected images at 570 nm from the ICVL dataset . From top to bottom: sparse coding , SCAUNet-GAN , SAPUNet-GAN, SAPWNet-GAN, and ground-truth.

Article Snippet: The database images were acquired using a Specim PS Kappa DX4 hyperspectral camera and a rotary stage for spatial scanning.

Techniques: Comparison

Quantitative evaluation on the Chakrabarti dataset in comparison with several state-of-the-art hyperspectral reconstructing methods: Yan et al. , Arad et al. , Nguyen et al. , Kawakami et al. .

Journal: Sensors (Basel, Switzerland)

Article Title: Adversarial Networks for Scale Feature-Attention Spectral Image Reconstruction from a Single RGB

doi: 10.3390/s20082426

Figure Lengend Snippet: Quantitative evaluation on the Chakrabarti dataset in comparison with several state-of-the-art hyperspectral reconstructing methods: Yan et al. , Arad et al. , Nguyen et al. , Kawakami et al. .

Article Snippet: The database images were acquired using a Specim PS Kappa DX4 hyperspectral camera and a rotary stage for spatial scanning.

Techniques: Comparison

Detailed analysis of the proposed SAPWNet with different settings. HSGAN,  hyperspectral  reconstruction GAN with U-Net generator; FP, feature pyramid without scale attention; SAM, scale attention module; W-Net, using W-Net replacing the U-Net.

Journal: Sensors (Basel, Switzerland)

Article Title: Adversarial Networks for Scale Feature-Attention Spectral Image Reconstruction from a Single RGB

doi: 10.3390/s20082426

Figure Lengend Snippet: Detailed analysis of the proposed SAPWNet with different settings. HSGAN, hyperspectral reconstruction GAN with U-Net generator; FP, feature pyramid without scale attention; SAM, scale attention module; W-Net, using W-Net replacing the U-Net.

Article Snippet: The database images were acquired using a Specim PS Kappa DX4 hyperspectral camera and a rotary stage for spatial scanning.

Techniques: