UM
Quaternion-based multiscale analysis for feature extraction of hyperspectral images
Li H.1; Li H.1; Zhang L.2
2019-03-15
Source PublicationIEEE Transactions on Signal Processing
ISSN1053587X
Volume67Issue:6Pages:1418-1430
AbstractThis paper proposes a new method called multiscale quaternion Weber local descriptor histogram (MQWLDH) for feature extraction of hyperspectral images (HSIs), which is used to model spatial information based on the corresponding spectral features. The proposed method first transforms spectral data into an orthogonal space using principal component analysis, and extracts the first three principal components (PCs) based on the maximum variance theory. Then, construct the MQWLDH to extract spatial features based on those first three PCs. The proposed method uses the algebraic structure of quaternions to unify the process of processing the first three PCs, which reduces the computational cost and the dimensionality of the extracted spatial feature vector. Moreover, the constructed quaternion Weber local descriptor effectively characterizes the variations of each pixel neighborhood and detects the edges of HSIs. To capture more intrinsic spatial information contained in homogeneous regions of different sizes and shapes, multiscale feature histograms are constructed. Finally, a feature fusion framework is proposed to fuse spectral and spatial features so that spectral information can be fully utilized. The experimental results on three HSI datasets demonstrate that the proposed method provides effective features to different classifiers and achieves excellent classification performance.
KeywordFeature extraction multiscale feature histograms principal component analysis (PCA) quaternion Weber local descriptor (QWLD)
DOI10.1109/TSP.2019.2892020
URLView the original
Language英語
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Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Huazhong University of Science and Technology
2.Universidade de Macau
Recommended Citation
GB/T 7714
Li H.,Li H.,Zhang L.. Quaternion-based multiscale analysis for feature extraction of hyperspectral images[J]. IEEE Transactions on Signal Processing,2019,67(6):1418-1430.
APA Li H.,Li H.,&Zhang L..(2019).Quaternion-based multiscale analysis for feature extraction of hyperspectral images.IEEE Transactions on Signal Processing,67(6),1418-1430.
MLA Li H.,et al."Quaternion-based multiscale analysis for feature extraction of hyperspectral images".IEEE Transactions on Signal Processing 67.6(2019):1418-1430.
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