Research map / Point clouds / Point cloud classification
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| combine low-rank recovery, robust L1 fitting, and temporal continuity | satellite-video reconstruction · Escalator, Lobby, Watersurface | RRE: 0.2760 -> 0.0153; 0.2677 -> 0.0246; 0.9880 -> 0.0045 | Helped |
| add a robust L1 loss while retaining temporal continuity (ablation) | TECMAC · Escalator, Lobby, Watersurface | RRE: 0.0481 -> 0.0153; 0.0646 -> 0.0246; 0.0461 -> 0.0045 | Helped |
| add temporal continuity to robust matrix completion | RMC · Escalator, Lobby, Watersurface | RRE: 0.2155 -> 0.0153; 0.2465 -> 0.0246; 0.9127 -> 0.0045 | Helped |
| use alternating minimization rather than inexact proximal gradient | TECROMAC · Escalator, Lobby, Watersurface | RRE: 0.0153 -> 0.0470; 0.0246 -> 0.0219; 0.0045 -> 0.0305 | Mixed |
| use alternating minimization rather than inexact proximal gradient | TECROMAC · Escalator, Lobby, Watersurface | time: 147s -> 72s; 441s -> 145s; 156s -> 52s | Helped |
Closest papers by meaning
- AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery (NeurIPS 2024 · similarity 0.84)
- Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space (CVPR 2025 · similarity 0.84)
- From Posterior Sampling to Meaningful Diversity in Image Restoration (ICLR 2024 · similarity 0.83)
- Towards Universal Rainy Image Restoration: Benchmark and Baseline (AAAI 2025 · similarity 0.81)
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers (AAAI 2024 · similarity 0.81)
- REOBench: Benchmarking Robustness of Earth Observation Foundation Models (NeurIPS 2025 · similarity 0.81)
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