{"id":"W2356183317","doi":"","title":"The Realizotion of Image Formation Algorithm for High Resolution Spaceborne Spotlight SAR","year":2005,"lang":"en","type":"article","venue":"Journal of Astronautics","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Chirp; Synthetic aperture radar; Computer science; Radar imaging; Remote sensing; Image formation; Algorithm; Computer vision; Doppler effect; High resolution; Inverse synthetic aperture radar; Artificial intelligence; Image (mathematics); Radar; Geology; Optics; Physics; Telecommunications; Laser","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":[0.0003493791,0.0003098909,0.0002243539,0.0002068731,0.0004344317,0.0003015806,0.0003896221,0.0003338404,0.001576593],"category_scores_gemma":[0.000727911,0.0001820131,0.0002794051,0.0002371265,0.0003362436,0.0006268095,0.0003902231,0.0005579561,0.0005132993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002534198,"about_ca_system_score_gemma":0.0006522027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002229331,"about_ca_topic_score_gemma":0.002632444,"domain_scores_codex":[0.9998329,0.0000290301,0.000006732083,0.00003151897,0.00008762303,0.00001230425],"domain_scores_gemma":[0.9998221,0.00004552811,0.00002026679,0.00003266909,0.00006906568,0.0000104903],"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":[0.0001033592,0.00005486997,0.001712765,0.0001325823,0.00003117723,0.0001014685,0.0003872442,0.1983998,0.07348242,0.03573909,0.003521071,0.6863341],"study_design_scores_gemma":[0.00003064607,0.00009279908,0.0007661833,0.000005339245,0.00001077091,0.000193365,0.00004599007,0.9620423,0.02361426,0.00615167,0.007030779,0.00001590111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003408417,0.00002449714,0.9956995,0.00002704717,0.000009797385,0.00001189774,0.000004107313,0.0001585488,0.0006561668],"genre_scores_gemma":[0.1737552,0.0001360794,0.8232263,0.00003508739,0.00002567655,0.0001012767,0.00005515863,0.00007038646,0.002594967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002229331,"threshold_uncertainty_score":0.005274236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315741630944978,"score_gpt":0.2097446683844712,"score_spread":0.2044289267535262,"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."}}