By observing the error graph in the second row, it can be found that from (d) to (g), the number of misaligned pixels highlighted in red shows a decreasing trend step by step, which is consistent with the result of quantitative analysis.
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ELDGG: an end-to-end LiDAR-dynamic-guided GAN for hyperspectral image hierarchical reconstruction and classification.
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