{"id":"W3211822504","doi":"10.3390/rs13224604","title":"Remote Sensing Imagery Segmentation: A Hybrid Approach","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cuckoo search; Thresholding; Computer science; Segmentation; Artificial intelligence; Entropy (arrow of time); Image segmentation; Balanced histogram thresholding; Pattern recognition (psychology); Otsu's method; Computer vision; Algorithm; Image (mathematics); Image processing; Particle swarm optimization","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":[0.000732392,0.001061753,0.001206427,0.003707938,0.0005197602,0.00172765,0.001439863,0.001593884,0.001688615],"category_scores_gemma":[0.001122933,0.0007024813,0.00145556,0.002249915,0.0006621649,0.001575886,0.001221127,0.0005218899,0.0006923649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006505517,"about_ca_system_score_gemma":0.0006649437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153086,"about_ca_topic_score_gemma":0.002828218,"domain_scores_codex":[0.9992335,0.0000939627,0.00004831852,0.0002287968,0.0003155885,0.00007983131],"domain_scores_gemma":[0.9996071,0.0001187579,0.00006158716,0.00005391734,0.0001341287,0.00002440634],"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":[0.0002824673,0.0001691125,0.002454831,0.0005201813,0.0004048324,0.0003268874,0.0004334216,0.253601,0.1191194,0.01441852,0.002192262,0.6060771],"study_design_scores_gemma":[0.000008943452,0.00007508699,0.001008264,0.00002610495,0.00006551602,0.0002259774,0.00006794777,0.9804349,0.01058971,0.004776282,0.002686307,0.00003490724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0135462,0.0005775636,0.98255,0.00009964192,0.00003517101,0.00006833858,0.00004213017,0.0006774333,0.002403507],"genre_scores_gemma":[0.3089913,0.0007050345,0.6846375,0.0001913189,0.0001101151,0.0001888552,0.0002636618,0.0003004343,0.004611701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003707938,"threshold_uncertainty_score":0.00564903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154734333398172,"score_gpt":0.2369045759080279,"score_spread":0.2153572325740461,"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."}}