{"id":"W4409981863","doi":"10.18280/ts.420249","title":"Unsupervised Classification of Remote Sensing Images via Generative Adversarial Networks and Transfer Learning","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Adversarial system; Transfer of learning; Computer science; Artificial intelligence; Generative adversarial network; Pattern recognition (psychology); Unsupervised learning; Transfer (computing); Machine learning; Deep learning","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":[0.0009530403,0.0008739659,0.0007563946,0.0005989798,0.0002655175,0.0006970529,0.001347731,0.0008964075,0.0009513453],"category_scores_gemma":[0.002109015,0.0004434143,0.001097374,0.0005068463,0.001055225,0.0008853252,0.001150195,0.001950335,0.0003516352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006669209,"about_ca_system_score_gemma":0.0004662163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473719,"about_ca_topic_score_gemma":0.002578216,"domain_scores_codex":[0.9994216,0.0001791364,0.0000218804,0.0001832896,0.0001244798,0.0000695698],"domain_scores_gemma":[0.9990031,0.0005328411,0.0001606352,0.0001328639,0.0001254032,0.00004513298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009106928,0.00006108997,0.001118902,0.00005947607,0.00007069838,0.0001297789,0.00009694458,0.893162,0.006878572,0.01278984,0.001692779,0.08384889],"study_design_scores_gemma":[0.000001412731,0.000006695544,0.00006827177,0.00000180705,0.000002280542,0.00001022092,0.000002150274,0.9974884,0.0005338192,0.001754585,0.0001275073,0.000002783136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01855052,0.0002074065,0.9790624,0.0002117121,0.00004321125,0.00003822992,0.00005156422,0.0005001002,0.001334831],"genre_scores_gemma":[0.7847956,0.0004165178,0.2076943,0.0004271565,0.0001543215,0.0002143097,0.0004522659,0.0001601389,0.00568546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002473719,"threshold_uncertainty_score":0.005040169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259237589615813,"score_gpt":0.2201385371940719,"score_spread":0.2075461612979138,"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."}}