Combining orientation symmetry and LM cues for the detection of citrus trees in orchards from a digital surface model

IEEE Geoscience and Remote Sensing Letters

Volumn 15, Issue 12, 2018, Pages 1817-1821

  Ok, Ali Ozgun ^a   Ozdarici Ok, Asli ^b  

^a University of Nevsehir   (Turkey)

^b Ankara HBV University   (Turkey)

Author keywords

Automated detection; citrus trees; digital surface model (DSM); local maxima (LM); orientation symmetry; unmanned aerial vehicles (UAVs)

Indexed keywords

ANTENNAS; DATA MINING; FORESTRY; MATHEMATICAL TRANSFORMATIONS; PROBABILISTIC LOGICS; TREES (MATHEMATICS); UNMANNED AERIAL VEHICLES (UAV); VEGETATION;

AUTOMATED DETECTION; CITRUS TREE; DIGITAL SURFACE MODEL (DSM); GRAY SCALE; LOCAL MAXIMUM; MARKET RESEARCHES;

AIRCRAFT DETECTION;

AUTOMATION; EXPERIMENT; IMAGE ANALYSIS; MODEL; ORCHARD; REMOTELY OPERATED VEHICLE; SHRUB; SYMMETRY; TREE;

EID: 85052665263     PISSN: 1545598X     EISSN: 15580571     Source Type: Journal    
DOI: 10.1109/LGRS.2018.2865003     Document Type: Article

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