Efficient framework for palm tree detection in UAV images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 12, 2014, Pages 4692-4703

  Malek, Salim ^a   Bazi, Yakoub ^b   Alajlan, Naif ^b   AlHichri, Haikel ^b   Melgani, Farid ^c  

^a UNIVERSITY OF BLIDA   (Algeria)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

^c UNIVERSITY OF TRENTO   (Italy)

Author keywords

Extreme learning machine (ELM); Level set (LS); Local binary pattern (LBP); Palm trees; Scale invariant feature transform (SIFT); Unmanned aerial vehicle (UAV) images

Indexed keywords

BINARY IMAGES; BINARY TREES; CONTENT BASED RETRIEVAL; COST EFFECTIVENESS; FORESTRY; IMAGE SEGMENTATION; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; NUMERICAL METHODS; REMOTE SENSING; UNMANNED VEHICLES;

EXTREME LEARNING MACHINE; LEVEL SETS; LOCAL BINARY PATTERNS; PALM-TREE; SCALE INVARIANT FEATURE TRANSFORMS;

UNMANNED AERIAL VEHICLES (UAV);

AERIAL SURVEY; DETECTION METHOD; IMAGE ANALYSIS; REMOTE SENSING; SPATIAL RESOLUTION; TREE; UNMANNED VEHICLE; VEGETATION COVER;

AIR CRAFT; IMAGES; PLANTS; REMOTE SENSING;

EID: 85027923694     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2331425     Document Type: Article

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