{"id":"W2295088450","doi":"10.1117/12.876474","title":"Hyperspectral and multispectral sensors for remote sensing","year":2010,"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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalsa Corporation","funders":"","keywords":"Multispectral image; Hyperspectral imaging; Dichroic glass; Image sensor; Computer science; Remote sensing; Robustness (evolution); Remote sensing application; Pixel; Full spectral imaging; Liquid crystal tunable filter; CMOS sensor; Sensitivity (control systems); Multispectral pattern recognition; Payload (computing); Materials science; Artificial intelligence; Electronic engineering; Optoelectronics; Engineering","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":[0.0003803257,0.0004595875,0.000404989,0.0006308519,0.0003116184,0.0007026591,0.0005021361,0.000689037,0.004671812],"category_scores_gemma":[0.0003257087,0.0002769046,0.0003615895,0.0006585973,0.000606996,0.0009639413,0.0005354735,0.0009010324,0.001371554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005861399,"about_ca_system_score_gemma":0.0002682073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002805745,"about_ca_topic_score_gemma":0.0009769766,"domain_scores_codex":[0.9994015,0.00007013851,0.00001419968,0.0001132138,0.0003721671,0.00002887092],"domain_scores_gemma":[0.9997595,0.00005748235,0.00004418763,0.00003015387,0.00008825369,0.00002030553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006030859,0.00004684634,0.0007878027,0.0006302283,0.00002979484,0.00008661427,0.00007973111,0.0009460722,0.811846,0.02068918,0.003953788,0.1608436],"study_design_scores_gemma":[0.00001232176,0.0003481772,0.004661982,0.00008235501,0.00004851805,0.00145073,0.0001262854,0.01158163,0.7812073,0.004842637,0.1955757,0.00006232082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1366795,0.08013651,0.693903,0.002798379,0.001438301,0.0002953058,0.001101051,0.002548152,0.08109985],"genre_scores_gemma":[0.2733327,0.02157637,0.6662264,0.001430484,0.0004763955,0.0001478255,0.0007035094,0.0002009015,0.03590544],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004671812,"threshold_uncertainty_score":0.01562876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623926745972449,"score_gpt":0.2447141592399986,"score_spread":0.2284748917802741,"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."}}