{"id":"W2187279703","doi":"","title":"COMBINATION OF OBJECT-BASED AND PIXEL-BASED IMAGE ANALYSIS FOR CLASSIFICATION OF VHR IMAGERY OVER URBAN AREAS","year":2011,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Land cover; Artificial intelligence; Pattern recognition (psychology); Pixel; Contextual image classification; Image segmentation; Image texture; Set (abstract data type); Computer vision; Segmentation; Image resolution; Computer science; Image (mathematics); Texture (cosmology); Mathematics; Object (grammar); Remote sensing; Geography; Land use","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":[0.0008743794,0.0006060858,0.0006658492,0.003218872,0.000217076,0.0008184104,0.0003923686,0.0004304441,0.0006779414],"category_scores_gemma":[0.000871032,0.0002677451,0.0006317171,0.001626407,0.0002758542,0.0007866184,0.0004049001,0.0003107432,0.0005022371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923412,"about_ca_system_score_gemma":0.0002717299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528566,"about_ca_topic_score_gemma":0.002515153,"domain_scores_codex":[0.9994873,0.000101601,0.00002801729,0.0001059809,0.0002321901,0.00004489884],"domain_scores_gemma":[0.9996058,0.0001267881,0.00004916139,0.00005535825,0.0001383911,0.0000244859],"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":[0.0004358544,0.000284403,0.02048626,0.0003545076,0.00040554,0.0002140988,0.0002052964,0.02051907,0.1962676,0.0007299139,0.000888708,0.7592087],"study_design_scores_gemma":[0.00004952887,0.0005267247,0.1312484,0.00005287356,0.0005827749,0.0006565463,0.0003771133,0.7615465,0.09952551,0.001204331,0.004078242,0.0001515068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3367666,0.001208419,0.6546253,0.0001206042,0.0000789183,0.0002100566,0.0004099563,0.002514169,0.004066037],"genre_scores_gemma":[0.582448,0.0005861172,0.4149768,0.00006526404,0.0000511941,0.00008038907,0.0005736068,0.0001152235,0.001103458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003218872,"threshold_uncertainty_score":0.004624248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783142716317416,"score_gpt":0.2344768103952429,"score_spread":0.2066453832320688,"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."}}