{"id":"W3036842770","doi":"10.1109/jstars.2020.3002780","title":"A Variational Approach for Fusion of Panchromatic and Multispectral Images Using a New Spatial–Spectral Consistency Term","year":2020,"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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Panchromatic film; Multispectral image; Sharpening; Computer science; Image fusion; Image resolution; Artificial intelligence; Computer vision; Pixel; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002254861,0.00107384,0.001067352,0.000896231,0.000468886,0.0009467545,0.001956399,0.001631935,0.001556235],"category_scores_gemma":[0.002132116,0.0008711996,0.001824599,0.0007584608,0.001304008,0.00170671,0.001935582,0.00194222,0.0003137893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070691,"about_ca_system_score_gemma":0.001333802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005045557,"about_ca_topic_score_gemma":0.004262133,"domain_scores_codex":[0.9992411,0.0001902198,0.00004282143,0.0001783653,0.0002905228,0.00005699474],"domain_scores_gemma":[0.9994102,0.000269567,0.00007230417,0.00005065275,0.0001527987,0.00004446408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004857414,0.00005206758,0.0007418573,0.0002145128,0.0001727121,0.0001217545,0.0001394708,0.8394886,0.01474828,0.09115921,0.001433405,0.05167959],"study_design_scores_gemma":[0.000002758771,0.00001191456,0.0000627159,0.000004337218,0.000007030526,0.00001933552,0.000004022246,0.9952114,0.0005902108,0.003391038,0.0006868696,0.000008376344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0011795,0.0001005521,0.9982152,0.00005758682,0.00001628505,0.00001344009,0.00001336378,0.00002915793,0.0003750128],"genre_scores_gemma":[0.1879574,0.000593714,0.8050249,0.0002328204,0.0001750258,0.0002511118,0.0002975576,0.0002945631,0.005172925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005045557,"threshold_uncertainty_score":0.01192498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847106860652771,"score_gpt":0.2375915770585896,"score_spread":0.2091205084520619,"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."}}