منابع مشابه
Dependent component analysis
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Linear unmixing decomposes a hyperspectral image into a collection of reflectance spectra of the materials present in the scene, called endmember signatures, and the corresponding abundance fractions at each pixel in a spatial area of interest. This paper introduces a new unmixing method, called Dependent Component Analysis (DECA), which overcomes the limitations of unmixing methods based on In...
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Article history: Received 28 November 2014 Received in revised form 3 February 2015 Accepted 1 April 2015 Available online 13 April 2015
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Components estimated by independent component analysis and related methods are typically not independent in real data. A very common form of nonlinear dependency between the components is correlations in their variances or energies. Here, we propose a principled probabilistic model to model the energycorrelations between the latent variables. Our two-stage model includes a linear mixing of late...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2013
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2013-185