{"id":"W43127747","doi":"","title":"Visual remote sensing image fusion using local correlation moment","year":2004,"lang":"en","type":"article","venue":"Chinese Optics Letters","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Panchromatic film; Multispectral image; Image fusion; Moment (physics); Artificial intelligence; Computer science; Discrete wavelet transform; Wavelet; Standard deviation; Resolution (logic); Fusion; Optics; Computer vision; Image (mathematics); Image resolution; Wavelet transform; Pattern recognition (psychology); Physics; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008291613,0.0002401857,0.000182425,0.0001543657,0.0001020628,0.000045714,0.00008211759,0.00007664693,0.000009312291],"category_scores_gemma":[0.00002615847,0.0002354861,0.0000630787,0.0002640327,0.00007342942,0.0002791877,0.00006698231,0.0002566481,0.00002654984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004181201,"about_ca_system_score_gemma":0.00001115298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000222044,"about_ca_topic_score_gemma":0.000002499852,"domain_scores_codex":[0.9990281,0.00001252265,0.0002644417,0.0002023163,0.000216984,0.0002755812],"domain_scores_gemma":[0.999586,0.00002221603,0.00004867175,0.0002222652,0.0000428134,0.00007796798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005011956,0.000005894355,0.000008126491,0.00002304875,0.000006533031,0.00005073389,0.0001217919,0.3494179,0.6282524,0.000009262292,0.0000407664,0.02205859],"study_design_scores_gemma":[0.000381856,0.00001848233,0.0001147471,0.0001036937,0.00001288645,0.00005651685,0.00002381849,0.9288004,0.06926671,0.000865211,0.00006031482,0.0002953401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4030914,0.00002067845,0.5957689,0.0001570434,0.0002569651,0.0001136866,0.00000114166,0.0004335634,0.0001565985],"genre_scores_gemma":[0.5260624,0.00002015316,0.4734259,0.0002819731,0.0001269444,3.134718e-7,0.0000143465,0.00006293193,0.000005005405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5793825,"threshold_uncertainty_score":0.9602847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005428093999952154,"score_gpt":0.2481603175598042,"score_spread":0.2427322235598521,"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."}}