{"id":"W3213292025","doi":"10.1364/hise.2021.htu2c.4","title":"Application of Spectral-Spatial Classification on Hyperspectral Imagery to Map Coastal Endmembers in Manicouagan Peninsula","year":2021,"lang":"en","type":"article","venue":"OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Université du Québec à Rimouski","funders":"","keywords":"Hyperspectral imaging; Probabilistic logic; Peninsula; Pixel; Remote sensing; Computer science; Artificial intelligence; Regularization (linguistics); Pattern recognition (psychology); Bayesian probability; Contextual image classification; Geology; Cartography; Geography; Image (mathematics)","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":[0.0002345972,0.0003112603,0.00009897277,0.0006397542,0.0002879745,0.0003342859,0.0002325076,0.0001463806,0.0002922729],"category_scores_gemma":[0.0002337167,0.00008767539,0.0001322726,0.0004761222,0.0002187304,0.0001049027,0.0002622126,0.0001142128,0.00008114713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006750022,"about_ca_system_score_gemma":0.0009993721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1352802,"about_ca_topic_score_gemma":0.2778837,"domain_scores_codex":[0.9999145,0.00001445205,0.000002574386,0.00002782621,0.0000221728,0.0000183589],"domain_scores_gemma":[0.9999225,0.00001012259,0.000008655509,0.000008112144,0.00004239214,0.000008118383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003269262,0.0001985226,0.2937206,0.000144954,0.0001667494,0.0003938642,0.0005366426,0.1709657,0.1118042,0.001962233,0.002474826,0.4173047],"study_design_scores_gemma":[0.00001179372,0.00004941453,0.3618829,0.00001868908,0.00004324113,0.00008824572,0.0005938748,0.6168953,0.01769561,0.0004088531,0.002287987,0.00002401751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764797,0.0001646137,0.01991959,0.0001403855,0.00001146738,0.00004295594,0.0003261805,0.000134017,0.00278102],"genre_scores_gemma":[0.9859029,0.00005380787,0.01281268,0.00001161526,0.000003687784,0.00001271087,0.000309024,0.000006372084,0.0008872554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647197,"threshold_uncertainty_score":0.2689856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117859895816266,"score_gpt":0.229482524847316,"score_spread":0.2183039258891533,"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."}}