{"id":"W2171699268","doi":"10.1109/tgrs.2010.2076286","title":"Interferometric SAR Phase Filtering in the Wavelet Domain Using Simultaneous Detection and Estimation","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Japan Aerospace Exploration Agency","keywords":"Wavelet; Computer science; Estimator; Wavelet packet decomposition; Wavelet transform; Synthetic aperture radar; Noise (video); Curvelet; Artificial intelligence; Algorithm; Pattern recognition (psychology); Mathematics; Statistics; Image (mathematics)","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":[0.00114254,0.0009133801,0.0008645052,0.0009125107,0.0002294387,0.0008782123,0.0006577514,0.0009665499,0.0008411317],"category_scores_gemma":[0.002495377,0.0005498247,0.0009031447,0.0009360879,0.0004886532,0.001753211,0.0006545272,0.000768855,0.000764234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332762,"about_ca_system_score_gemma":0.0005268074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000519728,"about_ca_topic_score_gemma":0.0007695038,"domain_scores_codex":[0.9992718,0.0001307746,0.00004479289,0.0001379875,0.000373038,0.00004151759],"domain_scores_gemma":[0.9991916,0.0003550359,0.0001291029,0.0001200809,0.0001835172,0.00002058983],"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":[0.0001820525,0.0001157282,0.001120631,0.0002523137,0.00011771,0.00008076667,0.0001368765,0.05587954,0.07899928,0.01361956,0.001026438,0.8484691],"study_design_scores_gemma":[0.00007122676,0.0002684041,0.001873634,0.00004436265,0.0001101224,0.0005999316,0.00004314859,0.9142786,0.0645235,0.006782286,0.01132431,0.00008038356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003755239,0.000120608,0.9957152,0.00003246999,0.0000231953,0.0000102988,0.000008614577,0.00009704081,0.0002371991],"genre_scores_gemma":[0.0679848,0.0004847476,0.930146,0.00006139463,0.00008454741,0.00005556999,0.00009666434,0.00004503479,0.001041242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00114254,"threshold_uncertainty_score":0.006042421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031467472700916,"score_gpt":0.2492026810078616,"score_spread":0.2388880062808524,"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."}}