{"id":"W4416725774","doi":"10.1109/igarss55030.2025.11242449","title":"Autofocus Back Projection Method Based on Time-Frequency Information of a Single Point for Airborne SAR with Nonlinear Trajectory","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Autofocus; Trajectory; Synthetic aperture radar; Motion (physics); Projection (relational algebra); Tracking (education); Motion compensation; Inverse synthetic aperture radar","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005992431,0.0004580716,0.0005490779,0.000830311,0.00008676337,0.00005596965,0.0002296762,0.0002263087,0.0001496975],"category_scores_gemma":[0.0002488548,0.0004331257,0.0001762013,0.0008864218,0.00007504893,0.001018793,0.00003020657,0.0003142494,0.00002777693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556634,"about_ca_system_score_gemma":0.0003099398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007230366,"about_ca_topic_score_gemma":0.00001104957,"domain_scores_codex":[0.9979601,0.00008518421,0.0008876112,0.0003454503,0.0002918205,0.0004298139],"domain_scores_gemma":[0.9982601,0.0003420053,0.0002659157,0.0006298523,0.0004382997,0.00006385992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002302238,0.001430866,0.00008442897,0.007840614,0.000549362,0.000003493037,0.001342805,0.4503098,0.1334128,0.00512123,0.006437155,0.3911652],"study_design_scores_gemma":[0.001298327,0.0011188,0.00003919404,0.0007249259,0.00009287568,0.00000245298,0.00005598334,0.6758489,0.315363,0.0007802631,0.004340994,0.0003343305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003483093,0.00005307125,0.9653029,0.0004222818,0.000174303,0.002383175,0.000092562,0.0008685976,0.03035479],"genre_scores_gemma":[0.01960599,0.000007401879,0.9793994,0.0002493679,0.00004183926,0.0001052264,0.00007483207,0.00006655395,0.0004493948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3908309,"threshold_uncertainty_score":0.9998121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009232503418189923,"score_gpt":0.2630965120301445,"score_spread":0.2538640086119546,"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."}}