{"id":"W3207760153","doi":"10.1109/jstars.2021.3119923","title":"SAR Image Registration Based on ROEWA-Blocks and Multiscale Circle Descriptor","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Basic Research Program of Shaanxi Province; Northwest University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer vision; Artificial intelligence; Computer science; Image registration; Synthetic aperture radar; Image (mathematics); Image segmentation; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002510642,0.0001032091,0.0001866353,0.0001349681,0.0001303333,0.0001503546,0.00008431313,0.00007683283,7.899707e-7],"category_scores_gemma":[0.0001767361,0.0001038403,0.00002676143,0.0005821246,0.00004286704,0.0002554468,0.00002198236,0.0003131348,1.491698e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003497498,"about_ca_system_score_gemma":0.0001485929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001212818,"about_ca_topic_score_gemma":0.00003983618,"domain_scores_codex":[0.9990132,0.00004575332,0.0003604576,0.000200341,0.0002264248,0.0001538026],"domain_scores_gemma":[0.9990022,0.0000960305,0.00019576,0.0001851513,0.0004554904,0.00006534575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002573552,0.00004686272,0.0001466119,0.0000305774,0.0000112735,0.0001226782,0.0002100914,0.0003758042,0.2798301,0.0004137328,0.0001201421,0.7186664],"study_design_scores_gemma":[0.001341049,0.0002106337,0.03123581,0.0003854084,0.00001992198,0.0002708668,0.00006786191,0.4464119,0.5067967,0.00864335,0.004288489,0.0003280391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1392253,0.0001126415,0.8591192,0.001041171,0.0001035933,0.0000850839,9.282214e-7,0.00002961061,0.0002824711],"genre_scores_gemma":[0.3119626,0.0001694648,0.687366,0.0003397767,0.00009722406,3.307799e-8,0.000001461153,0.000006569685,0.00005689675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7183384,"threshold_uncertainty_score":0.4234484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318594324920084,"score_gpt":0.2530647256342184,"score_spread":0.2298787823850176,"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."}}