Characterization of hydrocarbon microseepages in the Tucano basin, (Brazil) through hyperspectral classification and neural network analysis of advanced spaceborne thermal emission and reflection radiometer (ASTER) data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 37, Issue , 2008, Pages 1195-1200

  Lammoglia, T ^a   Souza Filho, C R ^a   Filho, R A ^b  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

ASTER; Detection; Geology; Gis; Hydrocarbon microseepage; Landsat ETM; Neural network; Satellite

Indexed keywords

DATA HANDLING; ERROR DETECTION; GEOCHEMISTRY; GEOGRAPHIC INFORMATION SYSTEMS; GEOLOGY; HYDROCARBON REFINING; HYDROCARBONS; IMAGE ENHANCEMENT; KAOLINITE; NEURAL NETWORKS; PETROLEUM RESERVOIR ENGINEERING; PRINCIPAL COMPONENT ANALYSIS; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; SATELLITES;

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; ASTER; HYPER-SPECTRAL CLASSIFICATION; LANDSAT ETM; MICROSEEPAGE; MIXTURE TUNED MATCHED FILTERING; PRINCIPAL COMPONENTS ANALYSIS; PROBABILISTIC NEURAL NETWORKS;

DATA MINING;

EID: 85017030638     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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