{"id":"W3120043704","doi":"10.18280/ts.370616","title":"Automatic Segmentation of Remote Sensing Images on Water Bodies Based on Image Enhancement","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Artificial intelligence; Remote sensing; Computer vision; Computer science; Segmentation; Filter (signal processing); Mathematical morphology; Image segmentation; High resolution; Image (mathematics); Image processing; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003796943,0.0002588494,0.000258279,0.0001461863,0.0001037454,0.000122291,0.0004059433,0.00003460004,0.0003526382],"category_scores_gemma":[0.00001912033,0.0002070547,0.00009591763,0.0001330817,0.00006174824,0.0003694737,0.0001075839,0.0001171416,0.0001007241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009771108,"about_ca_system_score_gemma":0.00002918504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008985069,"about_ca_topic_score_gemma":3.714038e-7,"domain_scores_codex":[0.9978439,0.0001278714,0.0004924105,0.0004660289,0.0007283675,0.0003414522],"domain_scores_gemma":[0.9992583,0.00007123133,0.000167596,0.0003345412,0.00009963385,0.00006864998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000444207,0.0001075688,0.000002739441,0.0001197681,0.00002370681,0.00002254752,0.001390792,0.0001543274,0.8070873,0.00008691943,0.001652717,0.1893072],"study_design_scores_gemma":[0.0004333893,0.0007122776,0.00003808174,0.0001002304,0.00001054303,4.682802e-7,0.00002241429,0.358428,0.6398124,0.000144606,0.0001503844,0.0001472536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03264912,0.000008199112,0.9611462,0.003627894,0.00008035098,0.0005687049,0.000004728587,0.0003776371,0.001537108],"genre_scores_gemma":[0.6891559,0.000003121741,0.3082745,0.002464023,0.00004079196,0.000005914781,0.0000151215,0.00001466058,0.00002597255],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6565068,"threshold_uncertainty_score":0.8443444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745513190966725,"score_gpt":0.2527137869069884,"score_spread":0.2352586549973212,"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."}}