{"id":"W4414221862","doi":"10.1109/jstars.2025.3608126","title":"RADiffSR: A Diffusion Model for Remote Sensing Image Super-Resolution Fusing Residual Attention and Cross-Scale Dynamic Gating","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Feature (linguistics); Multispectral image; Block (permutation group theory); Kernel (algebra); Feature extraction; Pattern recognition (psychology); Channel (broadcasting); Footprint; Land cover; Distortion (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048014,0.0006348157,0.000588281,0.0003668135,0.0001957109,0.0004662937,0.001602795,0.0007431917,0.001574584],"category_scores_gemma":[0.0009026983,0.0003363474,0.0006719012,0.000438626,0.0004117105,0.001017814,0.0008467904,0.001027334,0.0004014543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007448405,"about_ca_system_score_gemma":0.0007792862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008795564,"about_ca_topic_score_gemma":0.008916747,"domain_scores_codex":[0.9998354,0.00002808602,0.000009421976,0.00005962413,0.0000453773,0.00002200884],"domain_scores_gemma":[0.9998344,0.00006424755,0.00002827565,0.00001977435,0.00003955128,0.00001373441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001120414,0.00004519187,0.0006141826,0.0001009273,0.00006412667,0.0001305954,0.00007482797,0.8117328,0.02820986,0.02500861,0.002290051,0.1316168],"study_design_scores_gemma":[0.00000327257,0.0000100131,0.00004629745,0.000001785671,0.000003801613,0.00001350437,0.00000142722,0.9967698,0.0009763839,0.001662379,0.0005083958,0.000002958557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01161597,0.0003739385,0.9855987,0.0001914298,0.00003159513,0.00002812537,0.00008855978,0.0006899422,0.001381599],"genre_scores_gemma":[0.5560722,0.000941921,0.4312788,0.0003830531,0.00009056456,0.000193935,0.0005026355,0.0003508346,0.01018595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008795564,"threshold_uncertainty_score":0.01748872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328236128633832,"score_gpt":0.2627864369425039,"score_spread":0.2495040756561656,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}