{"id":"W2136449732","doi":"10.1109/igarss.1994.399711","title":"Maximum likelihood estimation for SAR interferometry","year":2002,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coherence (philosophical gambling strategy); Magnitude (astronomy); Interferometric synthetic aperture radar; Synthetic aperture radar; Interferometry; Terrain; Gaussian; Phase (matter); Amplitude; Mathematics; Statistics; Remote sensing; Physics; Optics; Geology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006235568,0.002399605,0.002893664,0.002806875,0.0009842166,0.00311096,0.003322308,0.002628064,0.007653892],"category_scores_gemma":[0.03861569,0.001609476,0.001596096,0.004242639,0.001956348,0.003330994,0.002969139,0.004051493,0.004323774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894787,"about_ca_system_score_gemma":0.002106759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005124555,"about_ca_topic_score_gemma":0.003256915,"domain_scores_codex":[0.9942712,0.003977207,0.0002019831,0.0005559938,0.0008029901,0.0001907147],"domain_scores_gemma":[0.9830016,0.01420867,0.0005986562,0.0007814303,0.001251206,0.0001583576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001196024,0.00006427238,0.001129461,0.0007885477,0.0002834589,0.0002107921,0.0001632335,0.5817086,0.0006917337,0.2019124,0.0183748,0.1945531],"study_design_scores_gemma":[0.00002527411,0.00001421585,0.0002020178,0.00006842479,0.0000169594,0.00005345919,0.00001972713,0.8216946,0.0002674648,0.1699601,0.007645344,0.00003253665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004622997,0.00194556,0.995494,0.0002945012,0.00005786205,0.00003737711,0.000178369,0.0003329242,0.001197196],"genre_scores_gemma":[0.08473056,0.005643475,0.8961625,0.000366359,0.000925494,0.0009078911,0.00255951,0.0008219042,0.007882259],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007653892,"threshold_uncertainty_score":0.03297722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207970378751625,"score_gpt":0.2220838591432498,"score_spread":0.2100041553557335,"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."}}