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Superpixel-based 3D deep neural networks for hyperspectral image classification
Shi, Cheng; Pun, Chi-Man
2018-09-13
Source PublicationPATTERN RECOGNITION
ISSN0031-3203
Volume74Pages:600-616
Abstract

This paper presents a novel hyperspectral image (HSI) classification method to effectively exploit the 3D spectral-spatial information via superpixel-based 3D deep neural networks (3D DNNs). Superpixel can represent the structure of HSI with adaptive sizes and shapes, and therefore, it is incorporated into 3D DNNs to improve the classification performance, especially for noisy classification and boundary misclassification. First, a spatial feature image via superpixel is constructed to increase the spectral-spatial similarity and diversity. Second, a 3D superpixel-based sample filling method is designed to solve the misclassification problem of boundaries. Third, a 3D recurrent convolutional networks (3D RCNNs) are designed to further exploit spatial continuity and suppress noisy prediction. Experimental results on real HSI datasets demonstrate the superiority of the proposed method over several well-known methods in both visual appearance and classification accuracy. (C) 2017 Elsevier Ltd. All rights reserved.

KeywordHyperspectral Image Classification Superpixel 3d Deep Neural Networks
DOI10.1016/j.patcog.2017.09.007
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000417547800044
PublisherELSEVIER SCI LTD
The Source to ArticleWOS
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Citation statistics
Cited Times [WOS]:23   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorPun, Chi-Man
AffiliationDepartment of Computer and Information Science,University of Macau,Macau,China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Shi, Cheng,Pun, Chi-Man. Superpixel-based 3D deep neural networks for hyperspectral image classification[J]. PATTERN RECOGNITION,2018,74:600-616.
APA Shi, Cheng,&Pun, Chi-Man.(2018).Superpixel-based 3D deep neural networks for hyperspectral image classification.PATTERN RECOGNITION,74,600-616.
MLA Shi, Cheng,et al."Superpixel-based 3D deep neural networks for hyperspectral image classification".PATTERN RECOGNITION 74(2018):600-616.
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