6thGrid-Net combines 3D LUT color restoration with bilateral grids via a manifold-adaptive six-dimensional tensor and dynamic sampling to dehaze remote sensing images in one pass while reducing artifacts and model size.
While promising, this method neglects the correlation between color and edge features, limiting the synergy between color mapping and edge preservation
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2026 1verdicts
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6thGrid-Net: Unified Remote Sensing Image Dehazing Based on Color Restoration and Edge-Preserving
6thGrid-Net combines 3D LUT color restoration with bilateral grids via a manifold-adaptive six-dimensional tensor and dynamic sampling to dehaze remote sensing images in one pass while reducing artifacts and model size.