{"id":"W3143949821","doi":"","title":"Speckle Suppress for SAR Images Based on Pyramidal Morphology Algorithm","year":2003,"lang":"en","type":"article","venue":"中国航空学报(英文版)","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Upsampling; Speckle pattern; Algorithm; Computer science; Artificial intelligence; Speckle noise; Mathematical morphology; Computer vision; Reduction (mathematics); Filter (signal processing); Synthetic aperture radar; Image processing; Image (mathematics); Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173416,0.0001707491,0.000162406,0.00007851153,0.0001007963,0.00004975403,0.0001782161,0.0001033964,0.0001423472],"category_scores_gemma":[0.0000327059,0.0001743113,0.00007196405,0.0001285274,0.00005771252,0.00006714037,0.00001158358,0.0001463806,0.00004837572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004298561,"about_ca_system_score_gemma":0.00001957727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007654422,"about_ca_topic_score_gemma":8.356746e-7,"domain_scores_codex":[0.999186,0.00001270148,0.0001666015,0.0002298174,0.00009109738,0.0003137799],"domain_scores_gemma":[0.9994634,0.00006514377,0.00002699008,0.0003334605,0.00005100081,0.00006001781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007132727,0.001089837,0.0003356745,0.0008561202,0.0001420453,0.0000807501,0.000595886,0.03198461,0.2011628,0.02186813,0.5033501,0.2384627],"study_design_scores_gemma":[0.0007425688,0.000103833,0.0002308808,0.00003127703,0.00003135053,0.00001690188,0.00004514685,0.2718264,0.5242419,0.003695994,0.1985746,0.0004590879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005173532,0.0001687257,0.9792815,0.00026944,0.0002119386,0.0004394852,0.0001457747,0.0009695219,0.01334007],"genre_scores_gemma":[0.5975877,0.00001781586,0.4009057,0.0003186716,0.0001274556,0.0002298135,0.00006297304,0.00008414043,0.0006656906],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5924141,"threshold_uncertainty_score":0.7108208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034038440852853,"score_gpt":0.2503695791297713,"score_spread":0.2400291947212428,"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."}}