Tree species classification from fused active hyperspectral reflectance and LIDAR measurements

Forest Ecology and Management

Volumn 260, Issue 10, 2010, Pages 1843-1852

  Puttonen, Eetu ^a   Suomalainen, Juha ^a   Hakala, Teemu ^a   Räikkönen, Esa ^a,b   Kaartinen, Harri ^a   Kaasalainen, Sanna ^a   Litkey, Paula ^a  

^a Department of Photogrammetry and Remote Sensing ^*  (Finland)

^b Klastech GmbH   (Germany)

Author keywords

Classification; Data fusion; Forestry; Hyperspectrum; LIDAR

Indexed keywords

CLASSIFICATION; CLASSIFICATION ALGORITHM; CLASSIFICATION PARAMETERS; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; DATA SETS; HYPER SPECTRA; HYPERSPECTRAL DATA; HYPERSPECTRAL REFLECTANCE; LASER SYSTEMS; LIDAR; LIDAR MEASUREMENTS; LIGHT DETECTION AND RANGING; POINT CLOUD; REFLECTANCE SPECTRUM; SHAPE DISTRIBUTION; SHAPE PARAMETERS; TREE SPECIES;

ATMOSPHERICS; DATA FUSION; FORESTRY; INFORMATION FUSION; OPTICAL RADAR; REFLECTION; TIMBER;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ALGORITHM; BOREAL FOREST; CLASSIFICATION; DATA SET; FORESTRY PRACTICE; HYPOTHESIS TESTING; LIDAR; MEASUREMENT METHOD; PARAMETERIZATION; PERFORMANCE ASSESSMENT; SPECTRAL REFLECTANCE;

BIODIVERSITY; CLASSIFICATION; DATA; FORESTRY; INFORMATION RETRIEVAL; LASERS; RADAR; REFLECTION; TREES;

EID: 77957321826     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2010.08.031     Document Type: Article

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