{"id":"W2126340432","doi":"10.3390/rs5126346","title":"An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model","year":2013,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; State Key Laboratory of Resources and Environmental Information System; National Natural Science Foundation of China; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Science Foundation","keywords":"Remote sensing; Reflectivity; Temporal resolution; Satellite; Fusion; Image resolution; Land cover; Computer science; Environmental science; Computer vision; Land use; Geology; Optics","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":[0.000980308,0.0005657354,0.0007450716,0.0006380113,0.0003220816,0.0005806567,0.001369421,0.0009233226,0.0008910219],"category_scores_gemma":[0.001125261,0.0003182224,0.001374399,0.0008257432,0.0002889255,0.001554132,0.0007907275,0.0007703864,0.0002680146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005707208,"about_ca_system_score_gemma":0.0006520853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008017324,"about_ca_topic_score_gemma":0.004286295,"domain_scores_codex":[0.9994554,0.0000961053,0.00003287202,0.0001401004,0.0002202003,0.00005528672],"domain_scores_gemma":[0.9997167,0.00007068313,0.00003831686,0.00004372948,0.0001189119,0.00001157084],"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":[0.0001488245,0.00007414793,0.001265461,0.0000735331,0.0001127269,0.0001377024,0.0001119906,0.8032358,0.03112773,0.007300927,0.001092695,0.1553184],"study_design_scores_gemma":[0.000003028317,0.0000109448,0.000166629,0.000001053278,0.000006228393,0.0000189974,0.000002753829,0.9977308,0.001374342,0.0004343796,0.0002450314,0.000005892342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02135308,0.0001344688,0.9768741,0.00008638452,0.00002994788,0.00002509999,0.00004817307,0.0005197186,0.000929009],"genre_scores_gemma":[0.6043401,0.000247711,0.3923558,0.0001118093,0.00003991458,0.00009681162,0.0003242955,0.0001042162,0.002379444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008017324,"threshold_uncertainty_score":0.01594132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055314495753516,"score_gpt":0.236814823337404,"score_spread":0.2262616783798689,"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."}}