{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002537304,0.0001441925,0.0002855109,0.0004699612,0.00002774946,0.00001771098,0.00008359175,0.0000889322,0.00004041653],"category_scores_gemma":[0.0001221925,0.0001476265,0.0001382707,0.0005270934,0.0001208549,0.0001729771,0.000006173094,0.00005511384,0.000001913057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000582642,"about_ca_system_score_gemma":0.0000326863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004126087,"about_ca_topic_score_gemma":0.00002086596,"domain_scores_codex":[0.9990395,0.00003589248,0.0004218344,0.0002081309,0.0001583909,0.0001362944],"domain_scores_gemma":[0.9988915,0.0001683061,0.0001858413,0.0003974511,0.0003090612,0.00004781171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007038761,0.0001680805,0.02752152,0.0003214447,0.0001863961,3.08403e-7,0.0001748372,0.0005287334,0.96802,0.000677852,0.0004388747,0.001891543],"study_design_scores_gemma":[0.0004286643,0.00003159101,0.3149191,0.00001258468,0.0001863044,1.092102e-7,0.00002803995,0.4472269,0.2369876,0.00006793723,0.00002136216,0.00008990021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3743899,0.0000277125,0.622852,0.00002596829,0.00004633032,0.0002659371,0.00001929585,0.0001061014,0.002266834],"genre_scores_gemma":[0.9579747,0.000002852038,0.04178702,0.00001226742,0.000009371702,0.00001158177,0.00012121,0.00002914193,0.00005182406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7310324,"threshold_uncertainty_score":0.6020035,"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."}}