UM
Learning recovered pattern from region-dependent model for hyperspectral imagery
Huiwu Luo; Lina Yang; Haoliang Yuan; Yuan Yan Tang
2013-12-06
Conference Name2013 IEEE International Conference on Cybernetics (CYBCO)
Source Publication2013 IEEE International Conference on Cybernetics, CYBCONF 2013
Pages150-155
Conference Date13-15 June 2013
Conference PlaceLausanne, Switzerland
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

The Compressive-Projection Principle Component Analysis (CPPCA) technique which recovers hyperspectral image(HSI) data from random projection efficiently, has been proved to be significant in decreasing signal-sensing costs at the sender. Inspired by the fact that the spectral signature of the same ground cover is similar, and two pixels of the neighborhood are likely to belonging to the same ground cover, this paper proposed a novel region-dependent approach CPPCA to recover HSI data. Due to the fact that the region map is critical to our proposed algorithm, herewith we employ a robust supervised Bayesian approach (LORSAL-MLL segmentation) which explores both the spectral and spatial information in an intuitive interpretation with small size samples to segment hyperspectral image into different regions. The CPPCA reconstruction procedure is then employed to each region independently other than each partition individually. The effectiveness and practicability of proposed region-dependent CPPCA (RDCPPCA) reconstructed algorithm is illustrated by real hyperspectral image data set with several criteria measurement.

KeywordCompressive Sensing Hyperspectral Image Reconstruction Hyperspectral Image Segmentation Principle Com-ponent Analysis
DOIhttps://doi.org/10.1109/CYBConf.2013.6617463
URLView the original
Indexed BySCIE
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Cybernetics
WOS IDWOS:000340924600026
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
AffiliationDepartment of Computer and Information Science, University of Macau 999078, Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Huiwu Luo,Lina Yang,Haoliang Yuan,et al. Learning recovered pattern from region-dependent model for hyperspectral imagery[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2013:150-155.
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