Hypothesis testing in speckled data with stochastic distances

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 1, 2010, Pages 373-385

  Nascimento, Abraão D C ^a   Cintra, Renato J ^a,b   Frery, Alejandro C ^c  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b UNIVERSITY OF CALGARY   (Canada)

^c FEDERAL UNIVERSITY OF ALAGOAS   (Brazil)

Author keywords

Contrast measures; Image analysis; Information theory; Multiplicative model; Speckle noise; Synthetic aperture radar (SAR) imagery

Indexed keywords

CLASSIFICATION PROCEDURE; COHERENT ILLUMINATION; CONTRAST MEASURES; GEOMETRIC DISTANCES; HYPOTHESIS TESTING; HYPOTHESIS TESTS; KULLBACK-LEIBLER; MULTIPLICATIVE MODEL; SPECKLE NOISE; SYNTHETIC APERTURE RADAR IMAGERY; TWO PARAMETER;

IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGING SYSTEMS; INFORMATION THEORY; RADAR; SIGNAL TO NOISE RATIO; SPECKLE; STOCHASTIC SYSTEMS; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES; UNDERWATER ACOUSTICS;

MAXIMUM LIKELIHOOD ESTIMATION;

DATA INTERPRETATION; HYPOTHESIS TESTING; IMAGE ANALYSIS; IMAGING METHOD; MAXIMUM LIKELIHOOD ANALYSIS; NUMERICAL MODEL; SIGNAL-TO-NOISE RATIO; SONAR; SPECKLE; SYNTHETIC APERTURE RADAR; ULTRASONICS;

EID: 73249123316     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2025498     Document Type: Article

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