{"id":"W3206141882","doi":"10.1109/igarss47720.2021.9553254","title":"Ship Detection and Classification in EO/IR VHR Satellite Imagery","year":2021,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Centre For Cold Ocean Resources Engineering","funders":"Defence Research and Development Canada","keywords":"Computer science; Convolutional neural network; Artificial intelligence; Pattern recognition (psychology); Thresholding; Contextual image classification; Satellite; Support vector machine; Linear discriminant analysis; False alarm; False positive paradox; Remote sensing; Masking (illustration); Object detection; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005674558,0.0004383083,0.0002845245,0.001418951,0.0001605059,0.0005081151,0.0003147421,0.0003996182,0.0009089477],"category_scores_gemma":[0.0007062232,0.0001911659,0.0003720987,0.0007023561,0.0002265598,0.0004646941,0.0002885286,0.0003082578,0.0005667903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253964,"about_ca_system_score_gemma":0.000180259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861055,"about_ca_topic_score_gemma":0.004060037,"domain_scores_codex":[0.9997547,0.00002904556,0.00001181949,0.00007166481,0.00008742804,0.00004528951],"domain_scores_gemma":[0.9997148,0.00008501978,0.00004411307,0.00003718031,0.0001000486,0.00001883817],"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":[0.0007051128,0.0003217009,0.05008611,0.000350112,0.0001557278,0.0003992933,0.0003183605,0.05562298,0.3368152,0.001173793,0.002792657,0.551259],"study_design_scores_gemma":[0.00002425824,0.0003026211,0.1762242,0.00003139518,0.00007702313,0.0003949605,0.0002342921,0.6672897,0.1520489,0.0007601853,0.002579105,0.00003338626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8081915,0.000281982,0.1835411,0.00009732281,0.00005473035,0.0001220365,0.000564339,0.00137401,0.005773058],"genre_scores_gemma":[0.8799227,0.0002050305,0.115989,0.00004787296,0.0000191268,0.00004038488,0.0007781521,0.00006144548,0.002936204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002861055,"threshold_uncertainty_score":0.005688846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412537431037865,"score_gpt":0.2282214933229447,"score_spread":0.2040961190125661,"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."}}