Subspace-based technique for speckle noise reduction in SAR images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 10, 2014, Pages 6257-6271

  Yahya, Norashikin ^a   Kamel, Nidal S ^a   Malik, Aamir Saeed ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Image denoising; principal component analysis (PCA); spatial filters; stochastic processes; synthetic aperture radar (SAR)

Indexed keywords

IMAGE DENOISING; NOISE ABATEMENT; PRINCIPAL COMPONENT ANALYSIS; RANDOM PROCESSES; SPECKLE; SPEECH ENHANCEMENT;

COMPUTATIONAL TIME; LINEAR ESTIMATORS; MULTIPLICATIVE SPECKLE NOISE; SPATIAL FILTERS; SPECKLE NOISE REDUCTION; SPECKLE NOISE REMOVAL; SYNTHETIC APERTURE RADAR (SAR) IMAGES; UNDERLYING PRINCIPLES;

SYNTHETIC APERTURE RADAR;

COMPUTER SIMULATION; ESTIMATION METHOD; NOISE; PERFORMANCE ASSESSMENT; PRINCIPAL COMPONENT ANALYSIS; SIGNAL; STOCHASTICITY; SYNTHETIC APERTURE RADAR; WAVELET ANALYSIS;

MALAYSIA; SELANGOR; WEST MALAYSIA;

EID: 84901824485     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2295824     Document Type: Article

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