{"id":"W2027545942","doi":"10.1117/12.659070","title":"A fully automated image co-registration system","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Image registration; Computer vision; Artificial intelligence; Image fusion; Remote sensing; Pixel; Image resolution; Sensor fusion; Image (mathematics); 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":[0.0008869556,0.0006998856,0.001084129,0.001289204,0.0005608433,0.001289814,0.00150884,0.001168597,0.008633818],"category_scores_gemma":[0.001595908,0.0005221803,0.0005379571,0.0009343547,0.0004025371,0.001557003,0.001887205,0.0007731801,0.008637214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341737,"about_ca_system_score_gemma":0.0009786297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069215,"about_ca_topic_score_gemma":0.0009701673,"domain_scores_codex":[0.9979641,0.0002116239,0.0001337108,0.0005719665,0.000989344,0.0001292474],"domain_scores_gemma":[0.9987881,0.0001272765,0.0001026062,0.0004783029,0.000441275,0.00006254595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004363171,0.0002395764,0.001122943,0.0001413649,0.00006621225,0.0002250226,0.0001501651,0.01123035,0.2126876,0.004132819,0.0147493,0.7548183],"study_design_scores_gemma":[0.0001647855,0.000957933,0.008894705,0.00005464147,0.0001123527,0.00228276,0.00009637001,0.5459784,0.2978316,0.004264231,0.1390623,0.0003000954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01361126,0.0001436935,0.9569831,0.0001154433,0.00009780398,0.0002680763,0.0003786148,0.02379319,0.004608709],"genre_scores_gemma":[0.1809092,0.0001893304,0.8008602,0.00023553,0.0001844989,0.0004908532,0.002053797,0.0007279424,0.01434886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008633818,"threshold_uncertainty_score":0.02888304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287334816843513,"score_gpt":0.2409599159392738,"score_spread":0.2280865677708387,"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."}}