{"id":"W4283017199","doi":"10.1142/s0219691322500254","title":"Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM","year":2022,"lang":"en","type":"article","venue":"International Journal of Wavelets Multiresolution and Information Processing","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency; Concordia University","funders":"","keywords":"Hyperspectral imaging; Support vector machine; Data cube; Pattern recognition (psychology); Artificial intelligence; Cube (algebra); Noise (video); Computer science; Pixel; Spatial analysis; Curse of dimensionality; Remote sensing; Image (mathematics); Data mining; 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":[0.00106254,0.0008544241,0.001322015,0.001894293,0.0003992047,0.0007779837,0.0007980307,0.001150108,0.00073377],"category_scores_gemma":[0.001665367,0.0002884557,0.001217494,0.001660889,0.0004348549,0.001344631,0.000637777,0.0007416843,0.0004914869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378947,"about_ca_system_score_gemma":0.0004351754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005487,"about_ca_topic_score_gemma":0.001578917,"domain_scores_codex":[0.9990185,0.0001560186,0.00009321915,0.0002222053,0.0004244095,0.00008557526],"domain_scores_gemma":[0.9992872,0.0002651527,0.0001134886,0.00008518092,0.0002170945,0.00003190594],"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":[0.0003467822,0.0002916016,0.004848093,0.0002153945,0.0001628499,0.0001104616,0.0001007764,0.07221916,0.05119097,0.002311493,0.002768402,0.8654341],"study_design_scores_gemma":[0.000008642507,0.00007349881,0.002705014,0.00001044276,0.00002603159,0.0001018858,0.0000257009,0.984773,0.0102157,0.001141646,0.0009011112,0.00001724039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04819725,0.0007774451,0.9491277,0.0001793401,0.00007994162,0.00004443036,0.0001057075,0.0007985869,0.0006895945],"genre_scores_gemma":[0.4147892,0.0007042224,0.5811246,0.000159546,0.0001869109,0.0001255321,0.0007806491,0.00008363478,0.002045668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002005487,"threshold_uncertainty_score":0.005619347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093994360670935,"score_gpt":0.2264873048338828,"score_spread":0.2155473612271735,"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."}}