Information compression and speckle reduction for multifrequency polarimetric SAR images based on kernel PCA * * This project was supported by the Specialized Research Found for the Doctoral Program of Higher Education (20070699013); the Natural Science Foundation of Shaanxi Province (2006F05); and the Aeronautical Science Foundation (05I53076).

Journal of Systems Engineering and Electronics

Volumn 19, Issue 3, 2008, Pages 493-498

  Ying, Li ^a   Xiaogang, Lei ^a   Bendu, Bai ^a   Yanning, Zhang ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

despeckling; information compression; kernel PCA; multifrequency polarimetric SAR imagery

Indexed keywords

AMOUNT OF INFORMATION; C BANDS; EXPERIMENTAL RESULTS; INDUSTRY CO-OPERATION; INFORMATION COMPRESSION; KERNEL PCA; KERNEL PRINCIPAL COMPONENT ANALYSIS (KPCA); KERNEL TRICKS; LINEAR PRINCIPAL COMPONENT; MULTI FREQUENCY (MF); NONLINEAR GENERALIZATIONS; POLARIMETRIC SAR (POLINSAR); RADAR IMAGES; SPECKLE NOISES; SPECKLE REDUCTION;

ADMINISTRATIVE DATA PROCESSING; AEROSPACE ENGINEERING; AEROSPACE INDUSTRY; DATA COMPRESSION; EIGENVALUES AND EIGENFUNCTIONS; FINANCIAL DATA PROCESSING; IMAGE ENHANCEMENT; POLARIMETERS; POLAROGRAPHIC ANALYSIS; SIGNAL PROCESSING; SPECKLE; SYNTHETIC APERTURES; TARGET DRONES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 45849100544     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1004-4132(08)60112-7     Document Type: Article

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