OPT OpenIR  > 光谱成像技术研究室
Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection
Lu, Xiaoqiang1; Zhang, Wuxia1,2; Huang, Ju1,2
作者部门光谱成像技术研究室
2020-03
发表期刊IEEE Transactions on Geoscience and Remote Sensing
ISSN01962892;15580644
卷号58期号:3页码:1527-1537
产权排序1
摘要

Hyperspectral anomaly detection is an important task in the remote sensing domain. Recently, researchers have shown great interest in deep learning-based methods because they can learn hierarchical, abstract, and high-level representations. However, the latent features learned from the autoencoder (AE) are not always able to reflect the intrinsic structure of hyperspectral data because the locality property is not considered during the learning process. In order to address this problem, a novel manifold constrained AE network (MC-AEN)-based hyperspectral anomaly detection method is proposed in this article. First, the manifold learning method is employed to learn the embedding manifold. Then, the latent representations are learned by an AE network with the learned embedding manifold constraints to preserve the intrinsic structure of hyperspectral data. Finally, the reconstruction errors are calculated to detect anomalies. The global reconstruction error from MC-AEN and the local reconstruction error from the learned latent representations are combined to fully utilize the learned knowledge for better detection performance. We test our proposed algorithm on three different real data sets. Experimental results on these three data sets show the superiority of our proposed method. © 1980-2012 IEEE.

关键词Autoencoder (AE) global reconstruction hyperspectral imagery (HSI) hyperspetral anomaly detection local reconstruction manifold learning
DOI10.1109/TGRS.2019.2944419
收录类别SCI ; EI
语种英语
WOS记录号WOS:000519598700003
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20201108277661
引用统计
被引频次:63[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/93304
专题光谱成像技术研究室
通讯作者Lu, Xiaoqiang
作者单位1.Key Laboratory of Spectral Imaging Technology CAS, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China;
2.Xi'An Institute of Optics and Precision Mechanics, University of Chinese Academy of Sciences, Beijing; 100049, China
推荐引用方式
GB/T 7714
Lu, Xiaoqiang,Zhang, Wuxia,Huang, Ju. Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection[J]. IEEE Transactions on Geoscience and Remote Sensing,2020,58(3):1527-1537.
APA Lu, Xiaoqiang,Zhang, Wuxia,&Huang, Ju.(2020).Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection.IEEE Transactions on Geoscience and Remote Sensing,58(3),1527-1537.
MLA Lu, Xiaoqiang,et al."Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection".IEEE Transactions on Geoscience and Remote Sensing 58.3(2020):1527-1537.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Exploiting Embedding(1670KB)期刊论文出版稿限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Lu, Xiaoqiang]的文章
[Zhang, Wuxia]的文章
[Huang, Ju]的文章
百度学术
百度学术中相似的文章
[Lu, Xiaoqiang]的文章
[Zhang, Wuxia]的文章
[Huang, Ju]的文章
必应学术
必应学术中相似的文章
[Lu, Xiaoqiang]的文章
[Zhang, Wuxia]的文章
[Huang, Ju]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。