On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images

Remote Sensing of Environment

Volumn 159, Issue , 2015, Pages 318-331

  Tochon, G ^a,b   Feret J B ^b,c   Valero, S ^c   Martin, R E ^b   Knapp, D E ^b   Salembier, P ^d   Chanussot, J ^a,e   Asner, G P ^b  

^a GIPSA LAB   (France)

^b GEOPHYSICAL LABORATORY   (United States)

^c CESBIO   (France)

^d UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^e UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Binary partition tree; Carnegie Airborne Observatory; Hyperspectral imagery; Segmentation; Tree crown delineation; Tropical forest

Indexed keywords

BINARY TREES; CONSERVATION; ECOLOGY; FORESTRY; INDEPENDENT COMPONENT ANALYSIS; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTROSCOPY; TARGET TRACKING; TROPICS;

BINARY PARTITION TREE; CARNEGIE AIRBORNE OBSERVATORIES; HYPER-SPECTRAL IMAGERIES; TREE CROWN DELINEATION; TROPICAL FOREST;

IMAGE SEGMENTATION;

ALGORITHM; DIGITAL ELEVATION MODEL; ECOSYSTEM MANAGEMENT; FOREST INVENTORY; HISTOGRAM; LANDSCAPE; RAINFOREST; REMOTE SENSING; SEGMENTATION; TROPICAL FOREST;

DIFFUSION; FORESTS; SEGMENTATION; TREES;

HAWAII [(ISL) HAWAIIAN ISLANDS]; HAWAII [UNITED STATES]; HAWAIIAN ISLANDS;

EID: 84923775562     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.12.020     Document Type: Article

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