{"id":"W3161152678","doi":"10.18280/ts.380224","title":"Object Recognition in Remote Sensing Images Based on Modified Backpropagation Neural Network","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Robustness (evolution); Backpropagation; Artificial intelligence; Artificial neural network; Benchmark (surveying); Deep learning; Convolutional neural network; Pattern recognition (psychology); Remote sensing","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":[0.0007883534,0.0009242416,0.0007208734,0.001086324,0.0003141913,0.0007419682,0.00104557,0.0009596248,0.001147994],"category_scores_gemma":[0.001513949,0.0003412067,0.0007121185,0.0009003438,0.0003954935,0.001282806,0.0004919478,0.0009531766,0.0006468845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006978964,"about_ca_system_score_gemma":0.0005374743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009240881,"about_ca_topic_score_gemma":0.006187554,"domain_scores_codex":[0.999423,0.00005591149,0.00004615433,0.0001933032,0.000228976,0.00005268205],"domain_scores_gemma":[0.9995428,0.000127341,0.0000612618,0.00006069052,0.000193652,0.00001432925],"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":[0.0002568036,0.0002089671,0.00268621,0.000152543,0.0001585435,0.0001977985,0.00009085262,0.1706908,0.03478143,0.001446724,0.003415267,0.785914],"study_design_scores_gemma":[0.000008761364,0.00004475497,0.001360052,0.000008346165,0.00001984971,0.00006890578,0.000009647911,0.9862415,0.01066699,0.0008047763,0.0007541986,0.00001225151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0736096,0.001291147,0.9161646,0.000344374,0.0002292956,0.0001584866,0.000221434,0.005179823,0.002801341],"genre_scores_gemma":[0.5979885,0.00116081,0.391046,0.0003383928,0.000130301,0.0002086168,0.0008191261,0.0001529646,0.008155231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009240881,"threshold_uncertainty_score":0.01837415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819557425296746,"score_gpt":0.2277164631251946,"score_spread":0.1995208888722271,"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."}}