Zabalza, Jaime and Ren, Jinchang and Marshall, Stephen (2015) 'On the fly' dimensionality reduction for hyperspectral image acquisition. In: 23rd European Signal Processing Conference, 2015 (EUSIPCO 2015), 2015-08-31 - 2015-09-04.
Zabalza_etal_EUSIPCO2015_on_fly_dimensionality_reduction_hyperspectral_image_acquisition.pdf - Accepted Author Manuscript
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Hyperspectral imaging (HSI) devices produce 3-D hyper-cubes of a spatial scene in hundreds of different spectral bands, generating large data sets which allow accurate data processing to be implemented. However, the large dimen-sionality of hypercubes leads to subsequent implementation of dimensionality reduction techniques such as principal component analysis (PCA), where the covariance matrix is constructed in order to perform such analysis. In this paper, we describe how the covariance matrix of an HSI hyper-cube can be computed in real time ‘on the fly’ during the data acquisition process. This offers great potential for HSI embedded devices to provide not only conventional HSI data but also preprocessed information.
|Item type:||Conference or Workshop Item (Paper)|
|Notes:||© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Keywords:||covariance matrix, principal component analysis (PCA), hyperspectral cameras, hypercube, data reduction, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
|Depositing user:||Pure Administrator|
|Date Deposited:||31 Mar 2016 14:56|
|Last modified:||22 Mar 2017 16:19|