{"id":"W4400086219","doi":"10.3390/rs16132349","title":"Variational-Based Spatial–Temporal Approximation of Images in Remote Sensing","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Remote sensing; Mean squared error; Poisson distribution; Pixel; Metric (unit); Satellite; Image resolution; Artificial intelligence; Algorithm; Pattern recognition (psychology); Mathematics; Statistics; Geography","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":[0.0009859505,0.0007251184,0.0005613415,0.0006997218,0.0003016234,0.000994027,0.0014115,0.0009071044,0.0008857779],"category_scores_gemma":[0.002672795,0.0005969233,0.001100344,0.0007951622,0.0007202492,0.001221283,0.0009357687,0.001225336,0.0002709936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009338996,"about_ca_system_score_gemma":0.001048707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175974,"about_ca_topic_score_gemma":0.01060317,"domain_scores_codex":[0.9996418,0.00008744502,0.00001864239,0.00006605381,0.0001519419,0.00003422206],"domain_scores_gemma":[0.9994516,0.0002911623,0.0000634181,0.0000633446,0.00009955919,0.00003088671],"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":[0.00005454835,0.00003934504,0.001098641,0.0001493219,0.00008707703,0.00008610056,0.0001175765,0.8960766,0.0133987,0.02289655,0.0008666,0.06512901],"study_design_scores_gemma":[0.000001250892,0.000004494264,0.00006814721,0.00000298427,0.000002859865,0.00001380492,0.000004337543,0.997345,0.0006276782,0.001562078,0.0003637352,0.000003669081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008145281,0.0003057843,0.9907231,0.00008983555,0.00002716912,0.00002099973,0.00003342071,0.0001324092,0.0005219277],"genre_scores_gemma":[0.3887282,0.001519677,0.6049687,0.0002093631,0.000130167,0.0001277747,0.0004195795,0.0003073267,0.003589381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01175974,"threshold_uncertainty_score":0.02338254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009292646416853751,"score_gpt":0.2460023422888687,"score_spread":0.2367096958720149,"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."}}