UM
Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification
Luo, Huiwu; Tani, Yuan Yan; Biuk-Aghai, Robert P.; Yang, Xu; Yang, Lina; Wang, Yi
2018-05
Source PublicationINTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
ISSN0219-6913
Volume16Issue:3
AbstractIn this paper, we propose a novel scheme to learn high-level representative features and conduct classification for hyperspectral image (HSI) data in an automatic fashion. The proposed method is a collaboration of a wavelet-based extended morphological profile (WTEMP) and a deep autoencoder (DAE) ("WTEMP-DAE"), with the aim of exploiting the discriminative capability of DAE when using WTEMP features as the input. Each part of WTEMP-DAE is ingenious and contributes to the final classification performance. Specifically, in WTEMP-DAE, the spatial information is extracted from the WTEMP, which is then joined with the wavelet denoised spectral information to form the spectral-spatial description of HSI data. The obtained features are fed into DAE as the original input, where the good weights and bias of the network are initialized through unsupervised pre-training. Once the pro-training is completed, the reconstruction layers are discarded and a logistic regression (LR) layer is added to the top of the network to perform supervised fine-tuning and classification. Experimental results on two real HSI data sets demonstrate that the proposed strategy improves classification performance in comparison with other state-of-the-art hand-crafted feature extractors and their combinations.
KeywordWavelet transform deep autoencoder neuronal network mathematical morphology feature extraction
DOI10.1142/S0219691318500169
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Software Engineering ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000432999800006
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:2   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Luo, Huiwu,Tani, Yuan Yan,Biuk-Aghai, Robert P.,et al. Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification[J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,2018,16(3).
APA Luo, Huiwu,Tani, Yuan Yan,Biuk-Aghai, Robert P.,Yang, Xu,Yang, Lina,&Wang, Yi.(2018).Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification.INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,16(3).
MLA Luo, Huiwu,et al."Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification".INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 16.3(2018).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Luo, Huiwu]'s Articles
[Tani, Yuan Yan]'s Articles
[Biuk-Aghai, Robert P.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Luo, Huiwu]'s Articles
[Tani, Yuan Yan]'s Articles
[Biuk-Aghai, Robert P.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Luo, Huiwu]'s Articles
[Tani, Yuan Yan]'s Articles
[Biuk-Aghai, Robert P.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.