Techniques based on Support Vector Machines for cloud detection on QuickBird satellite imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2011, Pages 515-518

  Rossi, Riccardo ^a   Basili, Roberto ^a   Del Frate, Fabio ^a   Luciani, Matteo ^a   Mesiano, Francesco ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Cloud Detection; Neighborhood Model; SVD; SVM

Indexed keywords

AMOUNT OF INFORMATION; CLASSIFICATION ACCURACY; CLOUD CLASSIFICATION; CLOUD COVER; CLOUD DETECTION; EARLY FUSION; EXPERIMENTAL SETUP; KERNEL FUNCTION; LANDSAT 7; NEIGHBORHOOD MODEL; OPTICAL IMAGE; OPTIMAL ALGORITHM; QUICKBIRD SATELLITE; QUICKBIRD SATELLITE IMAGERY; SVM; THEMATIC CLASSIFICATION; TRAINING PHASE; TRAINING SETS; TREE STRUCTURES;

ALGORITHMS; CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; GEOLOGY; GEOMETRICAL OPTICS; MILITARY SATELLITES; PLANT EXTRACTS; REMOTE SENSING; SINGULAR VALUE DECOMPOSITION; STRUCTURAL DESIGN; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

SATELLITE IMAGERY;

EID: 80955164610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049178     Document Type: Conference Paper

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