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Neural Compression for Multispectral Sa
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Overall architecture of ImpliSat
The left part shows the INR backbone, which takes spatial coordinates as input and is conditioned on resolution ψ and channel information η. The right part demonstrates the Fourier modulation process, which effectively represent the MSI data.
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Abstract
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Comparison of ground truth, shift modulation, scale modulation, and our proposed method with PSNR across multibands (B1, B5, B2) of the Cairo image. Each row represents a different GSD: 60m, 20m, and 10m, respectively.
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Comparison of ground truth, shift modulation, scale modulation, and our proposed method with PSNR across multibands (B9, B8A, B4) of the Merapi image. Each row represents a different GSD: 60m, 20m, and 10m, respectively.
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Comparison of ground truth, shift modulation, scale modulation, and our proposed method with PSNR across multibands (B9, B6, B3) of the London image. Each row represents a different GSD: 60m, 20m, and 10m, respectively.
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Comparison of ground truth, shift modulation, scale modulation, and our proposed method with PSNR across multibands (B1, B7, B8) of the Hawaii image. Each row represents a different GSD: 60m, 20m, and 10m, respectively.
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Comparison of ground truth, shift modulation, scale modulation, and our proposed method with PSNR across multibands (B10, B11, B8) of the Seoul image. Each row represents a different GSD: 60m, 20m, and 10m, respectively.