{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002489887,0.0001827555,0.0002206251,0.0001456037,0.0001016598,0.00004772974,0.00006353475,0.0001021669,0.00001916113],"category_scores_gemma":[0.00001664511,0.0001971286,0.00005645962,0.0002368774,0.00008830151,0.0001381125,0.00001147239,0.0002146379,0.000001795817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007898521,"about_ca_system_score_gemma":0.00002056079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001696736,"about_ca_topic_score_gemma":0.000006075173,"domain_scores_codex":[0.9989277,0.0001018002,0.0003814496,0.0002389498,0.0001527638,0.0001973316],"domain_scores_gemma":[0.999596,0.00009160126,0.00003580481,0.0001372976,0.0001019499,0.00003735968],"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":[0.00003642567,0.00000911308,0.00005000659,0.00005950644,0.00007322892,0.000001863887,0.0003249231,0.1089699,0.6272891,0.00008186933,0.0001011458,0.2630029],"study_design_scores_gemma":[0.0007413236,0.00003173095,0.005928718,0.00008476974,0.0000709899,0.00000276834,0.0001252783,0.937488,0.05480654,0.00009507425,0.0004720633,0.0001527703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1734756,0.0002109904,0.8246846,0.0001446689,0.0001648868,0.0002270236,0.000002155689,0.0001432823,0.0009468711],"genre_scores_gemma":[0.9887667,0.00006904089,0.01091211,0.00003066783,0.00009482496,6.558366e-7,0.00003730464,0.00002649016,0.00006217732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8285181,"threshold_uncertainty_score":0.8038673,"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."}}