First investigations on detection of stationary vehicles in airborne decimeter resolution SAR data by supervised learning

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2012, Pages 3584-3587

  Maksymiuk, Oliver ^a   Schmitt, Michael ^a   Brenner, Andreas R ^b   Stilla, Uwe ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b FRAUNHOFER INSTITUTE FOR HIGH FREQUENCY PHYSICS AND RADAR TECHNIQUES FHR   (Germany)

Author keywords

Airborne SAR; Decimeter Resolution; Image Processing; Random Forest; Stationary Vehicle; Supervised Learning; Support Vector Machine

Indexed keywords

AIRBORNE SAR; AUTOMATIC DETECTION; CLUSTERING MECHANISM; DESCRIPTORS; GABOR WAVELETS; IMAGE MOMENTS; RANDOM FORESTS; SAR DATA; SAR IMAGES; SHAPE ANALYSIS; SPECTRAL FEATURE; STATISTICAL FEATURES; SUBSPACE PROJECTION;

DECISION TREES; GEOLOGY; IMAGE PROCESSING; LEARNING ALGORITHMS; REMOTE SENSING; SUPERVISED LEARNING; SYNTHETIC APERTURE RADAR; VEHICLES;

SUPPORT VECTOR MACHINES;

EID: 84873131490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6350642     Document Type: Conference Paper

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