{"id":"W2315349446","doi":"10.5623/cig2014-001","title":"Supervised Change Detection in Satellite Imagery Using Super Pixels and Relevance Feedback","year":2014,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Change detection; Computer science; Relevance feedback; Pixel; Relevance (law); Artificial intelligence; Support vector machine; Data mining; Pattern recognition (psychology); Classifier (UML); Remote sensing; Machine learning; Computer vision; Image (mathematics); Image retrieval; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008923264,0.0007709857,0.001104517,0.001646964,0.0003814846,0.0005954541,0.0008114901,0.0007159157,0.001197883],"category_scores_gemma":[0.001942817,0.0003779154,0.0007019345,0.00111052,0.0004450671,0.0009182101,0.0006134763,0.0006623609,0.0005259349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829838,"about_ca_system_score_gemma":0.0006207775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002491301,"about_ca_topic_score_gemma":0.005378279,"domain_scores_codex":[0.9994387,0.0001035909,0.0000310942,0.0001873231,0.0001736125,0.00006565126],"domain_scores_gemma":[0.9989827,0.0004144227,0.000132403,0.0001541493,0.00026915,0.00004715822],"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":[0.0006482684,0.000438203,0.005014653,0.000281985,0.0001635426,0.0001562296,0.0001424233,0.06186286,0.09161313,0.0009834963,0.004649637,0.8340457],"study_design_scores_gemma":[0.00004215764,0.0001766227,0.006196755,0.00001216253,0.00007224249,0.0001030751,0.0000490054,0.964805,0.02543162,0.001986403,0.001108276,0.00001674962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.233585,0.001000543,0.7593478,0.0002309361,0.0001695356,0.0002314397,0.0003902741,0.003064394,0.001980087],"genre_scores_gemma":[0.755312,0.00024829,0.2412038,0.00009909383,0.0001626889,0.0001083734,0.0009034241,0.0001132954,0.001849106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002491301,"threshold_uncertainty_score":0.004953563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709763729620798,"score_gpt":0.2212768051666282,"score_spread":0.1941791678704202,"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."}}