{"id":"W2067927985","doi":"10.1117/12.487139","title":"Wavelet-based image target detection methods","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Wavelet; Artificial intelligence; Computer science; Wavelet transform; Computer vision; Pattern recognition (psychology); Image (mathematics); Image processing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001201639,0.0009763258,0.001127656,0.002064413,0.0003130978,0.001242172,0.001665337,0.001014445,0.002917505],"category_scores_gemma":[0.002372024,0.0004697104,0.0008059135,0.001990915,0.0005577868,0.001585195,0.001068666,0.001276422,0.002978663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239701,"about_ca_system_score_gemma":0.0004311808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008082087,"about_ca_topic_score_gemma":0.0006691578,"domain_scores_codex":[0.9990238,0.0001310035,0.00005630661,0.0001787346,0.0005533275,0.00005683261],"domain_scores_gemma":[0.9993093,0.0002292775,0.00006850933,0.00009957777,0.0002689292,0.00002436765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008903299,0.00007617574,0.0004778123,0.0004796987,0.00009096928,0.00007546309,0.00009750239,0.04852165,0.03562229,0.03109347,0.005756768,0.8776192],"study_design_scores_gemma":[0.00002427208,0.00008155649,0.000921116,0.00006996856,0.00005802125,0.0003792072,0.0000441602,0.9183139,0.02951505,0.01865397,0.03189389,0.00004499057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001194232,0.0007524489,0.9965654,0.00004628081,0.00004722346,0.00002501453,0.00003534214,0.0002881238,0.001046079],"genre_scores_gemma":[0.05958418,0.00455002,0.9266763,0.0001474864,0.0002072251,0.0001336088,0.0004351596,0.0002211473,0.008044954],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002917505,"threshold_uncertainty_score":0.009760022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337888019217433,"score_gpt":0.2493814936551448,"score_spread":0.2360026134629704,"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."}}