Abstract:
A novel method for anomaly detection in hyperspectral images (HSIs) is proposed based on low-rank and sparse representation. The proposed method is based on the separatio...Show MoreMetadata
Abstract:
A novel method for anomaly detection in hyperspectral images (HSIs) is proposed based on low-rank and sparse representation. The proposed method is based on the separation of the background and the anomalies in the observed data. Since each pixel in the background can be approximately represented by a background dictionary and the representation coefficients of all pixels form a low-rank matrix, a low-rank representation is used to model the background part. To better characterize each pixel's local representation, a sparsity-inducing regularization term is added to the representation coefficients. Moreover, a dictionary construction strategy is adopted to make the dictionary more stable and discriminative. Then, the anomalies are determined by the response of the residual matrix. An important advantage of the proposed algorithm is that it combines the global and local structure in the HSI. Experimental results have been conducted using both simulated and real data sets. These experiments indicate that our algorithm achieves very promising anomaly detection performance.
Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 54, Issue: 4, April 2016)
Funding Agency:

School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
Yang Xu (S'14) was born in Jiangsu, China, in 1990. He received
the B.Sc. degree in applied mathematics from the Nanjing University of Science and Technology, Nanjing, China, in 2011,
where he is currently working toward the Ph.D. degree in computer science.
His research interests are in the area of hyperspectral image classification, image processing, and machine
learning.
Yang Xu (S'14) was born in Jiangsu, China, in 1990. He received
the B.Sc. degree in applied mathematics from the Nanjing University of Science and Technology, Nanjing, China, in 2011,
where he is currently working toward the Ph.D. degree in computer science.
His research interests are in the area of hyperspectral image classification, image processing, and machine
learning.View more

School of Computer Science and Engineering, University of Extremadura, Cáceres, Spain
Zebin Wu (M'13) was born in Zhejiang, China, in 1981. He received
the B.Sc. and Ph.D. degrees in computer science from the Nanjing University of Science and Technology (NUST), Nanjing,
China, in 2003 and 2007, respectively.
He is currently a Visiting Scholar at the Hyperspectral Computing Laboratory, Department of Technology of Computers
and Communications, Escuela Politécnica, University of Extremadura, Caceres, Spai...Show More
Zebin Wu (M'13) was born in Zhejiang, China, in 1981. He received
the B.Sc. and Ph.D. degrees in computer science from the Nanjing University of Science and Technology (NUST), Nanjing,
China, in 2003 and 2007, respectively.
He is currently a Visiting Scholar at the Hyperspectral Computing Laboratory, Department of Technology of Computers
and Communications, Escuela Politécnica, University of Extremadura, Caceres, Spai...View more

Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
Jun Li (M'13) received the B.S. degree in geographic information
systems from Hunan Normal University, Changsha, China, in 2004, the M.E. degree in remote sensing from Peking
University, Beijing, China, in 2007, and the Ph.D. degree in electrical engineering from the Instituto de
Telecomunicações, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Lisbon,
Portugal, in 2011.
From 2007 to 2011, she was a...Show More
Jun Li (M'13) received the B.S. degree in geographic information
systems from Hunan Normal University, Changsha, China, in 2004, the M.E. degree in remote sensing from Peking
University, Beijing, China, in 2007, and the Ph.D. degree in electrical engineering from the Instituto de
Telecomunicações, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Lisbon,
Portugal, in 2011.
From 2007 to 2011, she was a...View more

Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain
Antonio Plaza (M'05–SM'07–F'15)
received the bachelor, M.Sc., and Ph.D. degrees from the University of Extremadura, Extremadura, Spain, in 1997, 1999,
and 2002, respectively, all in computer engineering. He was born in Caceres, Spain, in 1975. He is an Associate
Professor (with accreditation for Full Professor) with the Department of Technology of Computers and Communications,
University of Extremadura, Caceres, whe...Show More
Antonio Plaza (M'05–SM'07–F'15)
received the bachelor, M.Sc., and Ph.D. degrees from the University of Extremadura, Extremadura, Spain, in 1997, 1999,
and 2002, respectively, all in computer engineering. He was born in Caceres, Spain, in 1975. He is an Associate
Professor (with accreditation for Full Professor) with the Department of Technology of Computers and Communications,
University of Extremadura, Caceres, whe...View more

School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
Zhihui Wei was born in Jiangsu, China, in 1963. He received the B.Sc.
and M.Sc. degrees in applied mathematics and the Ph.D. degree in communication and information system from South East
University, Nanjing, China, in 1983, 1986, and 2003, respectively.
He is currently a Professor and Doctoral Supervisor with the Nanjing University of Science and Technology, Nanjing.
His research interests include partial differentia...Show More
Zhihui Wei was born in Jiangsu, China, in 1963. He received the B.Sc.
and M.Sc. degrees in applied mathematics and the Ph.D. degree in communication and information system from South East
University, Nanjing, China, in 1983, 1986, and 2003, respectively.
He is currently a Professor and Doctoral Supervisor with the Nanjing University of Science and Technology, Nanjing.
His research interests include partial differentia...View more

School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
Yang Xu (S'14) was born in Jiangsu, China, in 1990. He received
the B.Sc. degree in applied mathematics from the Nanjing University of Science and Technology, Nanjing, China, in 2011,
where he is currently working toward the Ph.D. degree in computer science.
His research interests are in the area of hyperspectral image classification, image processing, and machine
learning.
Yang Xu (S'14) was born in Jiangsu, China, in 1990. He received
the B.Sc. degree in applied mathematics from the Nanjing University of Science and Technology, Nanjing, China, in 2011,
where he is currently working toward the Ph.D. degree in computer science.
His research interests are in the area of hyperspectral image classification, image processing, and machine
learning.View more

School of Computer Science and Engineering, University of Extremadura, Cáceres, Spain
Zebin Wu (M'13) was born in Zhejiang, China, in 1981. He received
the B.Sc. and Ph.D. degrees in computer science from the Nanjing University of Science and Technology (NUST), Nanjing,
China, in 2003 and 2007, respectively.
He is currently a Visiting Scholar at the Hyperspectral Computing Laboratory, Department of Technology of Computers
and Communications, Escuela Politécnica, University of Extremadura, Caceres, Spain, and also an Associate
Professor at the School of Computer Science and Engineering of NUST. His research interests include hyperspectral image
processing, high performance computing, and computer simulation.
Zebin Wu (M'13) was born in Zhejiang, China, in 1981. He received
the B.Sc. and Ph.D. degrees in computer science from the Nanjing University of Science and Technology (NUST), Nanjing,
China, in 2003 and 2007, respectively.
He is currently a Visiting Scholar at the Hyperspectral Computing Laboratory, Department of Technology of Computers
and Communications, Escuela Politécnica, University of Extremadura, Caceres, Spain, and also an Associate
Professor at the School of Computer Science and Engineering of NUST. His research interests include hyperspectral image
processing, high performance computing, and computer simulation.View more

Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
Jun Li (M'13) received the B.S. degree in geographic information
systems from Hunan Normal University, Changsha, China, in 2004, the M.E. degree in remote sensing from Peking
University, Beijing, China, in 2007, and the Ph.D. degree in electrical engineering from the Instituto de
Telecomunicações, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Lisbon,
Portugal, in 2011.
From 2007 to 2011, she was a Marie Curie Research Fellow with the Departamento de Engenharia Electrotécnica e
de Computadores and the Instituto de Telecomunicações, IST, Universidade Técnica de Lisboa, in the
framework of the European Doctorate for Signal Processing (SIGNAL). She has also been actively involved in the
Hyperspectral Imaging Network, a Marie Curie Research Training Network, involving 15 partners in 12 countries and
intended to foster research, training, and cooperation on hyperspectral imaging at the European level. Since 2011, she
has been a Postdoctoral Researcher with the Hyperspectral Computing Laboratory, Department of Technology of Computers
and Communications, Escuela Politécnica, University of Extremadura, Caceres, Spain. Currently, she is a
Professor with Sun Yat-Sen University, Guangzhou, China. Her research interests include hyperspectral image
classification and segmentation, spectral unmixing, signal processing, and remote sensing.
Dr. Li has been a Reviewer for several journals, including the IEEE Transactions on Geoscience and Remote
Sensing, IEEE Geoscience and Remote Sensing Letters, Pattern Recognition,
Optical Engineering, Journal of Applied Remote Sensing, and Inverse Problems
and Imaging. She received the 2012 Best Reviewer Award of the IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing.
Jun Li (M'13) received the B.S. degree in geographic information
systems from Hunan Normal University, Changsha, China, in 2004, the M.E. degree in remote sensing from Peking
University, Beijing, China, in 2007, and the Ph.D. degree in electrical engineering from the Instituto de
Telecomunicações, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Lisbon,
Portugal, in 2011.
From 2007 to 2011, she was a Marie Curie Research Fellow with the Departamento de Engenharia Electrotécnica e
de Computadores and the Instituto de Telecomunicações, IST, Universidade Técnica de Lisboa, in the
framework of the European Doctorate for Signal Processing (SIGNAL). She has also been actively involved in the
Hyperspectral Imaging Network, a Marie Curie Research Training Network, involving 15 partners in 12 countries and
intended to foster research, training, and cooperation on hyperspectral imaging at the European level. Since 2011, she
has been a Postdoctoral Researcher with the Hyperspectral Computing Laboratory, Department of Technology of Computers
and Communications, Escuela Politécnica, University of Extremadura, Caceres, Spain. Currently, she is a
Professor with Sun Yat-Sen University, Guangzhou, China. Her research interests include hyperspectral image
classification and segmentation, spectral unmixing, signal processing, and remote sensing.
Dr. Li has been a Reviewer for several journals, including the IEEE Transactions on Geoscience and Remote
Sensing, IEEE Geoscience and Remote Sensing Letters, Pattern Recognition,
Optical Engineering, Journal of Applied Remote Sensing, and Inverse Problems
and Imaging. She received the 2012 Best Reviewer Award of the IEEE Journal of Selected Topics in Applied
Earth Observations and Remote Sensing.View more

Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain
Antonio Plaza (M'05–SM'07–F'15)
received the bachelor, M.Sc., and Ph.D. degrees from the University of Extremadura, Extremadura, Spain, in 1997, 1999,
and 2002, respectively, all in computer engineering. He was born in Caceres, Spain, in 1975. He is an Associate
Professor (with accreditation for Full Professor) with the Department of Technology of Computers and Communications,
University of Extremadura, Caceres, where he is the Head of the Hyperspectral Computing Laboratory (HyperComp). His
main research interests comprise remotely sensed hyperspectral image analysis and efficient implementations of
large-scale scientific problems on high performance computing architectures. He has been the advisor of 12 Ph.D.
dissertations and more than 30 M.Sc. dissertations. He was the Coordinator of the Hyperspectral Imaging Network, a
European project with a total funding of 2.8 million euro. He authored more than 400 publications, including 130
Journal Citation Reports journal papers (82 in IEEE journals), 20 book chapters, and over 240 peer-reviewed conference
proceeding papers (94 in IEEE conferences). He has edited a book on high-performance computing in remote sensing for
CRC Press/Taylor and Francis (the first book on this topic in the published literature) and guest edited eight special
issues on hyperspectral remote sensing for different journals.
Dr. Plaza is a Fellow of IEEE “for contributions to hyperspectral data processing and parallel computing of
Earth observation data.” He is a recipient of the recognition of Best Reviewers of the IEEE Geoscience and
Remote Sensing Letters (in 2009) and a recipient of the recognition of Best Reviewers of the IEEE Transactions
on Geoscience and Remote Sensing (in 2010), a journal for which he served as Associate Editor in 2007–2012.
He is also an Associate Editor for IEEE Access and was a member of the Editorial Board of the IEEE Geoscience and
Remote Sensing Newsletter (2011–2012) and the IEEE Geoscience and Remote Sensing Magazine (2013).
He was also a member of the steering committee of the IEEE Journal of Selected Topics in Applied Earth Observations
and Remote Sensing (JSTARS). He is currently an Associate Editor for the Journal of Real-Time Image
Processing. He is a recipient of the 2013 Best Paper Award of the JSTARS journal and a recipient of the most
highly cited paper (2005–2010) in the Journal of Parallel and Distributed Computing. He is a coauthor of the
2011 Best Student Paper at the IEEE International Conference on Space Technology and a recipient of the 2008 Best Paper
Award at the IEEE Symposium on Signal Processing and Information Technology. He is a recipient of the Best Ph.D.
Dissertation Award at the University of Extremadura in 2002. Four of his students have received the Best Ph.D.
Dissertation Award at the University of Extremadura, and one of his students has received the Best Ph.D. Dissertation
Award at the Complutense University of Madrid, Madrid, Spain. He served as the Director of Education Activities for the
IEEE Geoscience and Remote Sensing Society (GRSS) in 2011–2012 and is currently serving as the President of the
Spanish Chapter of IEEE GRSS (since November 2012). He has served as a Proposal Evaluator for the European Commission
(Marie Curie Actions, Engineering Panel), the European Space Agency, the Belgium Science Policy, the Israel Science
Foundation, and the Spanish Ministry of Science and Innovation. He has participated in the Tenure Track Selection
Committee of different universities in Italy, Spain, and Australia. He has reviewed more than 500 manuscripts for over
50 different journals. He is also currently serving as the Editor-in-Chief of the IEEE Transactions on Geoscience
and Remote Sensing journal.
Antonio Plaza (M'05–SM'07–F'15)
received the bachelor, M.Sc., and Ph.D. degrees from the University of Extremadura, Extremadura, Spain, in 1997, 1999,
and 2002, respectively, all in computer engineering. He was born in Caceres, Spain, in 1975. He is an Associate
Professor (with accreditation for Full Professor) with the Department of Technology of Computers and Communications,
University of Extremadura, Caceres, where he is the Head of the Hyperspectral Computing Laboratory (HyperComp). His
main research interests comprise remotely sensed hyperspectral image analysis and efficient implementations of
large-scale scientific problems on high performance computing architectures. He has been the advisor of 12 Ph.D.
dissertations and more than 30 M.Sc. dissertations. He was the Coordinator of the Hyperspectral Imaging Network, a
European project with a total funding of 2.8 million euro. He authored more than 400 publications, including 130
Journal Citation Reports journal papers (82 in IEEE journals), 20 book chapters, and over 240 peer-reviewed conference
proceeding papers (94 in IEEE conferences). He has edited a book on high-performance computing in remote sensing for
CRC Press/Taylor and Francis (the first book on this topic in the published literature) and guest edited eight special
issues on hyperspectral remote sensing for different journals.
Dr. Plaza is a Fellow of IEEE “for contributions to hyperspectral data processing and parallel computing of
Earth observation data.” He is a recipient of the recognition of Best Reviewers of the IEEE Geoscience and
Remote Sensing Letters (in 2009) and a recipient of the recognition of Best Reviewers of the IEEE Transactions
on Geoscience and Remote Sensing (in 2010), a journal for which he served as Associate Editor in 2007–2012.
He is also an Associate Editor for IEEE Access and was a member of the Editorial Board of the IEEE Geoscience and
Remote Sensing Newsletter (2011–2012) and the IEEE Geoscience and Remote Sensing Magazine (2013).
He was also a member of the steering committee of the IEEE Journal of Selected Topics in Applied Earth Observations
and Remote Sensing (JSTARS). He is currently an Associate Editor for the Journal of Real-Time Image
Processing. He is a recipient of the 2013 Best Paper Award of the JSTARS journal and a recipient of the most
highly cited paper (2005–2010) in the Journal of Parallel and Distributed Computing. He is a coauthor of the
2011 Best Student Paper at the IEEE International Conference on Space Technology and a recipient of the 2008 Best Paper
Award at the IEEE Symposium on Signal Processing and Information Technology. He is a recipient of the Best Ph.D.
Dissertation Award at the University of Extremadura in 2002. Four of his students have received the Best Ph.D.
Dissertation Award at the University of Extremadura, and one of his students has received the Best Ph.D. Dissertation
Award at the Complutense University of Madrid, Madrid, Spain. He served as the Director of Education Activities for the
IEEE Geoscience and Remote Sensing Society (GRSS) in 2011–2012 and is currently serving as the President of the
Spanish Chapter of IEEE GRSS (since November 2012). He has served as a Proposal Evaluator for the European Commission
(Marie Curie Actions, Engineering Panel), the European Space Agency, the Belgium Science Policy, the Israel Science
Foundation, and the Spanish Ministry of Science and Innovation. He has participated in the Tenure Track Selection
Committee of different universities in Italy, Spain, and Australia. He has reviewed more than 500 manuscripts for over
50 different journals. He is also currently serving as the Editor-in-Chief of the IEEE Transactions on Geoscience
and Remote Sensing journal.View more

School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
Zhihui Wei was born in Jiangsu, China, in 1963. He received the B.Sc.
and M.Sc. degrees in applied mathematics and the Ph.D. degree in communication and information system from South East
University, Nanjing, China, in 1983, 1986, and 2003, respectively.
He is currently a Professor and Doctoral Supervisor with the Nanjing University of Science and Technology, Nanjing.
His research interests include partial differential equations, mathematical image processing, multiscale analysis,
sparse representation, and compressive sensing.
Zhihui Wei was born in Jiangsu, China, in 1963. He received the B.Sc.
and M.Sc. degrees in applied mathematics and the Ph.D. degree in communication and information system from South East
University, Nanjing, China, in 1983, 1986, and 2003, respectively.
He is currently a Professor and Doctoral Supervisor with the Nanjing University of Science and Technology, Nanjing.
His research interests include partial differential equations, mathematical image processing, multiscale analysis,
sparse representation, and compressive sensing.View more