Parameter estimation in SAR imagery using stochastic distances and asymmetric kernels

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

Volumn 8, Issue 1, 2015, Pages 365-375

  Gambini, Juliana ^a,b   Cassetti, Julia ^c   Lucini, Maria Magdalena ^d   Frery, Alejandro C ^e  

^a INSTITUTO TECNOLÓGICO DE BUENOS AIRES   (Argentina)

^b UNIVERSIDAD NACIONAL DE TRES DE FEBRERO   (Argentina)

^c INSTITUTO DE CIENCIAS   (Argentina)

^d UNIVERSIDAD NACIONAL DEL NORDESTE   (Argentina)

^e FEDERAL UNIVERSITY OF ALAGOAS   (Brazil)

Author keywords

Feature extraction; image texture analysis; speckle; statistics; Synthetic aperture radar (SAR)

Indexed keywords

FEATURE EXTRACTION; IMAGE TEXTURE; RADAR; RADAR IMAGING; SPECKLE; STATISTICS; STOCHASTIC SYSTEMS; SYNTHETIC APERTURE RADAR; TEXTURES;

IMAGE TEXTURE ANALYSIS; INVERSE GAUSSIAN DENSITY; NUMERICAL PROBLEMS; ROUGHNESS PARAMETERS; SYNTHETIC APERTURE RADAR IMAGERY; TEXTURE PARAMETERS; THEORETICAL DENSITY; THREE PARAMETERS;

PARAMETER ESTIMATION;

IMAGE ANALYSIS; IMAGERY; ROUGHNESS; SPECKLE; STOCHASTICITY; SYNTHETIC APERTURE RADAR;

EID: 85027920014     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2346017     Document Type: Article

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