{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002423908,0.0005667906,0.0005716049,0.0004425487,0.0002920431,0.0004149327,0.0007006961,0.0005279729,0.0008833341],"category_scores_gemma":[0.0005417895,0.0002022187,0.0004990444,0.0004880048,0.0003513887,0.0007067231,0.0006000709,0.00044524,0.0004855868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404229,"about_ca_system_score_gemma":0.0002921406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003806454,"about_ca_topic_score_gemma":0.000527452,"domain_scores_codex":[0.999711,0.00003189173,0.00001441479,0.00008858704,0.0001380067,0.0000160973],"domain_scores_gemma":[0.9998528,0.00003551402,0.00001841087,0.00002354829,0.00006227902,0.000007440686],"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":[0.0002099061,0.0001264316,0.0006949613,0.0002457182,0.00009476262,0.0002105699,0.0001849093,0.04557195,0.3515187,0.03232681,0.001717504,0.5670977],"study_design_scores_gemma":[0.00003015944,0.0001898391,0.0009528287,0.00001785263,0.00007104708,0.0005726699,0.00003758751,0.8459967,0.119932,0.01355996,0.01859611,0.00004315318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007184361,0.0002479731,0.9916235,0.00004053527,0.0000468701,0.00001095487,0.00001470861,0.0001613007,0.0006698844],"genre_scores_gemma":[0.1640216,0.0007297889,0.8299901,0.0001214218,0.0002122407,0.00008422053,0.000132568,0.00008740011,0.00462059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008833341,"threshold_uncertainty_score":0.002955079,"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."}}