{"id":"W208043904","doi":"","title":"Information Content of Very High Resolution SAR Images: Study of Dependency of SAR Image Structure Descriptors with Incidence Angle","year":2012,"lang":"en","type":"article","venue":"elib (German Aerospace Center)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; DePaul University","keywords":"Filter (signal processing); Artificial intelligence; Computer science; Synthetic aperture radar; Computer vision; Incidence (geometry); Pattern recognition (psychology); Mathematics; Geometry","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":[0.0008873635,0.000326006,0.0003965733,0.001917281,0.0001936313,0.0006919288,0.0001856487,0.0003466035,0.0007653805],"category_scores_gemma":[0.006323811,0.0001343062,0.0004365963,0.001139817,0.0003432421,0.0008005102,0.0003153888,0.000342983,0.0002980028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694688,"about_ca_system_score_gemma":0.0001319978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008144039,"about_ca_topic_score_gemma":0.000909552,"domain_scores_codex":[0.9992275,0.000133797,0.00005870654,0.0001477072,0.0003464223,0.00008580295],"domain_scores_gemma":[0.9927924,0.005428801,0.0005619521,0.0004886349,0.0006120257,0.0001162343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001855943,0.00051947,0.1629083,0.000933825,0.0004272282,0.001267988,0.0006722008,0.07367829,0.4108917,0.0008278753,0.001595613,0.3444215],"study_design_scores_gemma":[0.00001670537,0.001706988,0.551882,0.00006192768,0.0002840942,0.002213849,0.0005506724,0.1954313,0.2441911,0.0008043488,0.002753552,0.0001034037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725212,0.001477989,0.02273856,0.00007864104,0.0000303129,0.00004037576,0.0005344113,0.0003022622,0.002276406],"genre_scores_gemma":[0.9908387,0.0004823183,0.007318824,0.00001381725,0.00001864147,0.00001460945,0.0008031776,0.00005029703,0.0004596238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001917281,"threshold_uncertainty_score":0.004692912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343056527777427,"score_gpt":0.2181139952075746,"score_spread":0.2046834299298003,"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."}}