{"id":"W1959091867","doi":"10.1109/igarss.2002.1026590","title":"Simulation on the extraction of ships' images embedded in speckle using cross-correlation of multilook SAR images and applications to Radarsat data","year":2003,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency","keywords":"Clutter; Speckle pattern; Constant false alarm rate; Coherence (philosophical gambling strategy); Synthetic aperture radar; Remote sensing; Computer science; Artificial intelligence; Amplitude; Computer vision; Geology; Radar; Mathematics; Optics; Physics; Statistics; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003829534,0.00007192304,0.00009944596,0.00008449399,0.00008774232,0.00003327122,0.00007867376,0.00003838571,0.000149523],"category_scores_gemma":[0.0001315799,0.00004964308,0.00001494125,0.0001937256,0.00007104584,0.0002784736,0.000009774072,0.00007127047,0.000005615279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003815435,"about_ca_system_score_gemma":0.0000169703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006823788,"about_ca_topic_score_gemma":0.00015236,"domain_scores_codex":[0.9992806,0.00006469982,0.0002321692,0.0001921975,0.0001329254,0.00009741778],"domain_scores_gemma":[0.9990962,0.0004642259,0.0001064646,0.0002667248,0.00003697571,0.00002947026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003632084,0.00002854845,0.07247376,0.00002125301,0.000006168669,5.845521e-7,0.0002030411,0.8970883,0.004285031,0.00009619709,0.00002677817,0.02573404],"study_design_scores_gemma":[0.0001702859,0.00003003597,0.2115379,0.00002742511,0.00000984673,0.00000276531,0.000479379,0.7765323,0.01051623,0.0003147722,0.0002983684,0.00008075135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793104,0.00008818537,0.01769894,0.00004555327,0.00005562107,0.0003500401,0.00005302683,0.000007637058,0.002390596],"genre_scores_gemma":[0.9832751,0.00001311413,0.01652139,0.00002777661,0.00002914827,3.540043e-9,0.00004112898,0.000002698204,0.00008967228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1390641,"threshold_uncertainty_score":0.2024386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05642428301808654,"score_gpt":0.3256203653230733,"score_spread":0.2691960823049867,"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."}}