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Canonical Correlation Analysis (CCA) is a standard tool in statistical analysis that measures the linear relationship between two data sets. In this paper, a multi-biometric approach which combines palm print feature and palm vein feature based on Canonical Correlation Analysis is proposed. First, using a series of pre-processing and extracted the ROI (Region of interest) which has enhanced of the...
Classifying different types of land cover in coastal zones using synthetic aperture radar (SAR) imagery is a challenge due to the fact that many types of coastal zone have similar backscattering characteristics. In this letter, we propose an unsupervised method based on a three-channel joint sparse representation (SR) classification with fully polarimetric SAR (PolSAR) data. The proposed method utilizes...
Remote sensing data are primary sources for change detection because remote sensing technology can acquire Earth's surface feature in large area timely and simultaneously. This paper proposed a new change detection method base on spectral matching. Changes in spectra often correspond to changes in important surface physical parameters. Therefore, subtle land cover changes can be detected using spectral...
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