Research map / Image generation / Image restoration
SIPSA-Net: Shift-Invariant Pan Sharpening With Moving Object Alignment for Satellite Imagery
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add feature alignment module to align MS features with PAN features (ablation) | SIPSA-Net · WorldView-3 full-scale | JQM: 0.576 -> 0.934 | Helped |
| Add feature alignment module to align MS features with PAN features (ablation) | SIPSA-Net · WorldView-3 full-scale | SCC_F: 0.340 -> 0.962 | Helped |
| Add shift-invariant spectral loss (ablation) | SIPSA-Net · WorldView-3 full-scale | JQM: 0.906 -> 0.934 | Helped |
| Add shift-invariant spectral loss (ablation) | SIPSA-Net · WorldView-3 full-scale | SCC_F: 0.964 -> 0.962 | Hurt |
| Add shift-invariant spectral loss (ablation) | SIPSA-Net · WorldView-3 full-scale | ERGAS: 2.351 -> 2.500 | Hurt |
| Replace feature-domain alignment with pixel-domain alignment (ablation) | SIPSA-Net · WorldView-3 full-scale | JQM: 0.934 -> 0.575 | Hurt |
| Use shift-invariant spectral loss rather than training without it (ablation) | SIPSA-Net · WorldView-3 moving-object regions | visual quality | Helped |
| Use QNR as the sole indicator of perceived image quality | pan-sharpening evaluation · WorldView-3 full-scale | visual quality | Hurt |
Closest papers by meaning
- Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration (AAAI 2024 · similarity 0.87)
- Binarized Neural Network for Multi-spectral Image Fusion (CVPR 2025 · similarity 0.86)
- Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables (NeurIPS 2025 · similarity 0.85)
- SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-Sharpening (AAAI 2025 · similarity 0.85)
- PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening (AAAI 2025 · similarity 0.84)
- A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening (CVPR 2025 · similarity 0.84)
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