{"id":"W2377891626","doi":"","title":"Novel approach to noise reduction of interferometric SAR phase","year":2005,"lang":"en","type":"article","venue":"Journal of Hefei University of Technology","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interferometric synthetic aperture radar; Synthetic aperture radar; Interferometry; Noise (video); Noise reduction; Phase noise; Computer science; Filter (signal processing); Digital elevation model; Median filter; Phase (matter); Nonlinear filter; Remote sensing; Optics; Computer vision; Physics; Geology; Image processing; Filter design; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001079427,0.00007602502,0.0002420627,0.001276035,0.00002377476,0.000001629094,0.0003296009,0.000140692,0.00001928815],"category_scores_gemma":[0.00002502558,0.00008005831,0.00008052899,0.0007507626,0.0000850443,0.00008149553,0.00004517993,0.0001927855,0.000002145117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030324,"about_ca_system_score_gemma":0.00001638023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008935222,"about_ca_topic_score_gemma":8.798328e-7,"domain_scores_codex":[0.9995039,0.000004684302,0.0002215136,0.00007585043,0.0001005503,0.00009348152],"domain_scores_gemma":[0.9994678,0.000014183,0.0001580611,0.0001839594,0.0001363148,0.0000396342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006510963,0.0006689402,0.00003544497,0.00004226475,0.0001228674,0.000002175476,0.0002498952,0.0003002023,0.2219715,0.002514337,0.002674307,0.7713529],"study_design_scores_gemma":[0.001693535,0.0007758329,0.0001989027,0.0001087165,0.000143217,0.000707146,0.00228715,0.003399102,0.467968,0.0003838072,0.5220914,0.0002431677],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2927504,0.0002173989,0.7044744,0.0006763165,0.00003564056,0.00008432311,0.000005894217,0.00007553103,0.001680073],"genre_scores_gemma":[0.5828934,0.00008359781,0.4169779,0.000002386123,0.00001543815,4.83117e-8,3.750025e-7,0.000005124771,0.00002172835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7711098,"threshold_uncertainty_score":0.3264683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009923202344314107,"score_gpt":0.2137287499290777,"score_spread":0.2038055475847636,"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."}}