Land cover and soil type mapping from spaceborne polsar data at l-band with probabilistic neural network

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 9, 2014, Pages 5256-5270

  Antropov, Oleg ^a   Rauste, Yrjo ^a   Astola, Heikki ^a   Praks, Jaan ^b   Hame, Tuomas ^a   Hallikainen, Martti T ^b  

^a VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

^b AALTO UNIVERSITY   (Finland)

Author keywords

Boreal forest; classification; forestry; land cover; polarimetry; soil type; synthetic aperture radar (SAR)

Indexed keywords

DISTRIBUTION FUNCTIONS; FORESTRY; MAPPING; NEURAL NETWORKS; POLARIMETERS; PROBABILITY DISTRIBUTIONS; SURFACE SCATTERING; SYNTHETIC APERTURE RADAR; VEGETATION;

BOREAL FORESTS; CLASSIFICATION PERFORMANCE; LAND COVER; MAXIMUM-LIKELIHOOD APPROACH; NON-PARAMETRIC ESTIMATIONS; PROBABILISTIC NEURAL NETWORKS; SOIL TYPES; SUPERVISED CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; FOREST CANOPY; IMAGE CLASSIFICATION; LAND COVER; MAPPING; PROBABILITY; SOIL TYPE; SYNTHETIC APERTURE RADAR;

CLASSIFICATION; FORESTRY; MAPPING; NEURAL NETWORKS; PLANTS; RADAR;

EID: 84898599447     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2287712     Document Type: Article

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