{"id":"W7097915434","doi":"","title":"3D PHYSICAL VERSUS EMPIRICAL MODELS FOR HR SENSOR ORIENTATION AND ELEVATION EXTRACTION: EXAMPLES WITH IKONOS AND QUICKBIRD","year":2012,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elevation (ballistics); Digital elevation model; Orientation (vector space); Polynomial; Shuttle Radar Topography Mission; Lidar; Empirical modelling; Linear model; Function (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009058081,0.0007395324,0.0003267814,0.0006661602,0.0002666804,0.0006416946,0.0006774234,0.0005823544,0.002428606],"category_scores_gemma":[0.001237593,0.0004577311,0.0008314803,0.0008822907,0.0003014918,0.0008501537,0.0004138012,0.0004713691,0.001646553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002309,"about_ca_system_score_gemma":0.000395881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008636001,"about_ca_topic_score_gemma":0.0118722,"domain_scores_codex":[0.9995735,0.0001117374,0.00002572238,0.00006831635,0.000194208,0.00002643894],"domain_scores_gemma":[0.9994578,0.0001719449,0.00003094912,0.0001596911,0.0001696293,0.000009911885],"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":[0.0002956161,0.0001250386,0.01418782,0.0005573977,0.0001151837,0.0005225095,0.0005575618,0.4003935,0.03024574,0.01382663,0.008029892,0.5311431],"study_design_scores_gemma":[0.00004864522,0.00009421762,0.01139333,0.0001011557,0.00006373569,0.0004847986,0.0002199902,0.9125523,0.02866734,0.006553913,0.03970971,0.0001108135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0842871,0.001930935,0.8954346,0.0007014688,0.0001013533,0.00009470379,0.001345269,0.003748007,0.01235668],"genre_scores_gemma":[0.4265535,0.002199592,0.5625154,0.0001007903,0.00003648365,0.00008034578,0.001760075,0.0007619692,0.005991835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008636001,"threshold_uncertainty_score":0.01717144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05119144695300545,"score_gpt":0.3158026724910635,"score_spread":0.264611225538058,"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."}}