Training neural networks on artificially generated data: A novel approach to SAR speckle removal

International Journal of Remote Sensing

Volumn 32, Issue 12, 2011, Pages 3405-3425

  van Coillie, F M B ^a   Lievens, H ^a   Joos, I ^a   Pizurica, A ^a   Verbeke, L P C ^b   de Wulf, R R ^a   Verhoest, N E C ^a  

^a GHENT UNIVERSITY   (Belgium)

^b Geo Solutions   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; SPECKLE; SYNTHETIC APERTURE RADAR;

ARTIFICIAL DATA; COMPARATIVE STUDIES; DE-NOISING TECHNIQUES; NEURAL NETWORK LEARNING; PERFORMANCE MEASURE; SPECKLE REMOVAL; SYNTHETIC APERTURE RADAR (SAR) IMAGES; WAVELET FILTERS;

RADAR IMAGING;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; DATA PROCESSING; DATA QUALITY; IMAGING METHOD; PERFORMANCE ASSESSMENT; SYNTHETIC APERTURE RADAR; WAVELET ANALYSIS;

EID: 79960073707     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161003749436     Document Type: Article

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