{"id":"W4313576996","doi":"10.3390/s23020599","title":"Infrared and Visible Image Fusion Technology and Application: A Review","year":2023,"lang":"en","type":"review","venue":"Sensors","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; Chongqing Municipal Education Commission; Beijing Academy of Agricultural and Forestry Sciences; Natural Science Foundation of Chongqing","keywords":"Artificial intelligence; Computer vision; Image fusion; Computer science; Pixel; Image sensor; Night vision; Infrared; Fusion; Visible spectrum; Noise (video); Interference (communication); Image (mathematics); Materials science; Optics; Telecommunications; Optoelectronics; Physics","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":[0.001188992,0.0008923188,0.001188724,0.003583083,0.000427797,0.001314485,0.001162718,0.001270227,0.002333269],"category_scores_gemma":[0.001334933,0.0005255205,0.001110832,0.003726126,0.000588032,0.00245468,0.0007554124,0.0009549492,0.001080872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006143472,"about_ca_system_score_gemma":0.001196246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982295,"about_ca_topic_score_gemma":0.001092952,"domain_scores_codex":[0.9993681,0.00007871,0.0001068204,0.0001119395,0.0002955987,0.00003879313],"domain_scores_gemma":[0.9989867,0.0004436033,0.0001208477,0.00003927136,0.0003773974,0.00003219812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006683347,0.00009631447,0.0006936117,0.0179044,0.0001560734,0.0003282197,0.0001422193,0.00185502,0.00694601,0.00613168,0.01267483,0.9530048],"study_design_scores_gemma":[0.00001416241,0.0003358882,0.00331619,0.004697734,0.0004462025,0.004401461,0.0002306144,0.005115574,0.01087474,0.00547765,0.96495,0.0001397593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008407077,0.9895247,0.006239919,0.0002655525,0.0003236553,0.00002298186,0.00003783796,0.00004351162,0.002701041],"genre_scores_gemma":[0.007002817,0.9861189,0.005073767,0.0002244069,0.0003874137,0.00003133617,0.0001050597,0.00001155672,0.001044724],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003583083,"threshold_uncertainty_score":0.007805586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465976936253271,"score_gpt":0.3109269910545813,"score_spread":0.2962672216920486,"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."}}