Abstract:
This paper proposes a novel method for ship detection and discrimination in complex background from synthetic aperture radar (SAR) images. It first implements a pixel-lev...Show MoreMetadata
Abstract:
This paper proposes a novel method for ship detection and discrimination in complex background from synthetic aperture radar (SAR) images. It first implements a pixel-level land-sea segmentation with the aid of a global 250-m water mask. Then, an efficient multiscale constant false alarm rate (CFAR) detector with generalized Gamma distribution clutter model is designed to detect candidate targets in the sea. At last, eigenellipse discrimination and maximum-likelihood (ML) discrimination are designed to further exclude false alarm nonship objects in nearshore and harbor area. The proposed land-sea segmentation method is compared with multilevel Otsu method. The proposed multiscale ship detector is compared with conventional CFAR detectors. These contrast experiments show the good performance of our method. Finally, experiments undertaken on actual ALOS-2 SAR data show the efficacy of the proposed approach in detecting nearshore ship targets in a complex coastal environment.
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( Volume: 11, Issue: 2, February 2018)
Funding Agency:
Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Wei Ao (S’17) received the B.E. (Hons.) degree in communication
engineering from the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China in
2016. He is currently working toward the M.S. degree in electronic engineering at the School of Information Science
and Technology, Fudan University, Shanghai, China.
His research interests include object detection and target recognition of ...Show More
Wei Ao (S’17) received the B.E. (Hons.) degree in communication
engineering from the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China in
2016. He is currently working toward the M.S. degree in electronic engineering at the School of Information Science
and Technology, Fudan University, Shanghai, China.
His research interests include object detection and target recognition of ...View more
Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Feng Xu (S’06–M’08–SM’14) received the
B.E. (Hons.) degree in information engineering from Southeast University, Nanjing, China, and the Ph.D. (Hons.) degree
in electronic engineering from Fudan University, Shanghai, China, in 2003 and 2008, respectively.
From 2008 to 2010, he was a Postdoctoral Fellow with the NOAA Center for Satellite Application and Research, Camp
Springs, MD, USA. From 2010 to 2013, he was with thet...Show More
Feng Xu (S’06–M’08–SM’14) received the
B.E. (Hons.) degree in information engineering from Southeast University, Nanjing, China, and the Ph.D. (Hons.) degree
in electronic engineering from Fudan University, Shanghai, China, in 2003 and 2008, respectively.
From 2008 to 2010, he was a Postdoctoral Fellow with the NOAA Center for Satellite Application and Research, Camp
Springs, MD, USA. From 2010 to 2013, he was with thet...View more
Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Yongchen Li (S’16) received the B.E. (Hons.) degree in
electronic engineering from the School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing,
China, and the M.S. (Hons.) degree in electronic engineering from the School of Electronic Information and
Electronical Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2008 and 2013, respectively. He is
currently working toward the Ph....Show More
Yongchen Li (S’16) received the B.E. (Hons.) degree in
electronic engineering from the School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing,
China, and the M.S. (Hons.) degree in electronic engineering from the School of Electronic Information and
Electronical Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2008 and 2013, respectively. He is
currently working toward the Ph....View more
Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Haipeng Wang (S’03–M’06–SM’16) received
the B.S. and M.S. degrees in mechanical and electronic engineering from the Harbin Institute of Technology, Harbin,
China, in 2001 and 2003, respectively, and the Ph.D. degree in environmental systems engineering from the Kochi
University of Technology, Kochi, Japan, in 2006.
He was a Visiting Researcher with the University of Waseda, Tokyo, Japan, in 2008. He is currently an Asso...Show More
Haipeng Wang (S’03–M’06–SM’16) received
the B.S. and M.S. degrees in mechanical and electronic engineering from the Harbin Institute of Technology, Harbin,
China, in 2001 and 2003, respectively, and the Ph.D. degree in environmental systems engineering from the Kochi
University of Technology, Kochi, Japan, in 2006.
He was a Visiting Researcher with the University of Waseda, Tokyo, Japan, in 2008. He is currently an Asso...View more
Contents Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Wei Ao (S’17) received the B.E. (Hons.) degree in communication
engineering from the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China in
2016. He is currently working toward the M.S. degree in electronic engineering at the School of Information Science
and Technology, Fudan University, Shanghai, China.
His research interests include object detection and target recognition of SAR images, object tracking of satellite
videos and deep learning.
Wei Ao (S’17) received the B.E. (Hons.) degree in communication
engineering from the School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China in
2016. He is currently working toward the M.S. degree in electronic engineering at the School of Information Science
and Technology, Fudan University, Shanghai, China.
His research interests include object detection and target recognition of SAR images, object tracking of satellite
videos and deep learning.View more
Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Feng Xu (S’06–M’08–SM’14) received the
B.E. (Hons.) degree in information engineering from Southeast University, Nanjing, China, and the Ph.D. (Hons.) degree
in electronic engineering from Fudan University, Shanghai, China, in 2003 and 2008, respectively.
From 2008 to 2010, he was a Postdoctoral Fellow with the NOAA Center for Satellite Application and Research, Camp
Springs, MD, USA. From 2010 to 2013, he was with thet Intelligent Automation, Inc., Rockville, MD, USA, while partly
working for NASA Goddard Space Flight Center, Greenbelt, MD, USA, as a Research Scientist. In 2012, he was selected
into China's Global Experts Recruitment Program, and subsequently returned to Fudan University in June 2013,
where he is currently a Professor with the School Of Information Science And Technology. He is the Vice Director of
the MoE Key Lab for Information Science of Electromagnetic Waves and the Vice Director of the Institute of
Electromagnetic Big Data and Remote Sensing Intelligence. He has authored/coauthored more than 40 papers in
peer-reviewed journals, coauthored two books, and two patents, among many conference papers. His research interests
include electromagnetic scattering modeling, SAR information retrieval and radar system development.
He was the recipient of the second-class National Nature Science Award of China in 2011. He was the 2014 recipient
of the Early Career Award of IEEE Geoscience and Remote Sensing Society and the 2007 recipient of the SUMMA graduate
fellowship in the advanced electromagnetics area. He is currently an Associate Editor for the IEEE Geoscience and
Remote Sensing Letters. He is the Founding Chair of the IEEE GRSS Shanghai Chapter.
Feng Xu (S’06–M’08–SM’14) received the
B.E. (Hons.) degree in information engineering from Southeast University, Nanjing, China, and the Ph.D. (Hons.) degree
in electronic engineering from Fudan University, Shanghai, China, in 2003 and 2008, respectively.
From 2008 to 2010, he was a Postdoctoral Fellow with the NOAA Center for Satellite Application and Research, Camp
Springs, MD, USA. From 2010 to 2013, he was with thet Intelligent Automation, Inc., Rockville, MD, USA, while partly
working for NASA Goddard Space Flight Center, Greenbelt, MD, USA, as a Research Scientist. In 2012, he was selected
into China's Global Experts Recruitment Program, and subsequently returned to Fudan University in June 2013,
where he is currently a Professor with the School Of Information Science And Technology. He is the Vice Director of
the MoE Key Lab for Information Science of Electromagnetic Waves and the Vice Director of the Institute of
Electromagnetic Big Data and Remote Sensing Intelligence. He has authored/coauthored more than 40 papers in
peer-reviewed journals, coauthored two books, and two patents, among many conference papers. His research interests
include electromagnetic scattering modeling, SAR information retrieval and radar system development.
He was the recipient of the second-class National Nature Science Award of China in 2011. He was the 2014 recipient
of the Early Career Award of IEEE Geoscience and Remote Sensing Society and the 2007 recipient of the SUMMA graduate
fellowship in the advanced electromagnetics area. He is currently an Associate Editor for the IEEE Geoscience and
Remote Sensing Letters. He is the Founding Chair of the IEEE GRSS Shanghai Chapter.View more
Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Yongchen Li (S’16) received the B.E. (Hons.) degree in
electronic engineering from the School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing,
China, and the M.S. (Hons.) degree in electronic engineering from the School of Electronic Information and
Electronical Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2008 and 2013, respectively. He is
currently working toward the Ph.D. degree in electronic engineering at the School of Information Science and
Technology, Fudan University, Shanghai, China.
From 2008 to 2010, he was a Radar Engineer in the Air Force. His current research interests include synthetic
aperture radar imaging and target feature extraction and reconstruction from multidimensional high-resolution SAR
images.
Yongchen Li (S’16) received the B.E. (Hons.) degree in
electronic engineering from the School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing,
China, and the M.S. (Hons.) degree in electronic engineering from the School of Electronic Information and
Electronical Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2008 and 2013, respectively. He is
currently working toward the Ph.D. degree in electronic engineering at the School of Information Science and
Technology, Fudan University, Shanghai, China.
From 2008 to 2010, he was a Radar Engineer in the Air Force. His current research interests include synthetic
aperture radar imaging and target feature extraction and reconstruction from multidimensional high-resolution SAR
images.View more
Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China
Haipeng Wang (S’03–M’06–SM’16) received
the B.S. and M.S. degrees in mechanical and electronic engineering from the Harbin Institute of Technology, Harbin,
China, in 2001 and 2003, respectively, and the Ph.D. degree in environmental systems engineering from the Kochi
University of Technology, Kochi, Japan, in 2006.
He was a Visiting Researcher with the University of Waseda, Tokyo, Japan, in 2008. He is currently an Associate
Professor with the Key Laboratory of Electromagnetic Wave Information Science (MoE), Department of Communication
Science and Engineering, School of Information Science and Engineering, Fudan University, Shanghai, China. His
research interests include signal processing, SAR image processing and analysis, speckle statistics, and applications
to forestry and oceanography, machine learning and its applications to SAR images.
Dr. Wang has been a member of the Technical Program Committee of the IEEE Geoscience and Remote Sensing Symposium
since 2011. He was the recipient of the Dean Prize of School of Information Science and Engineering, Fudan University
in 2009. He is the secretary of the IEEE GRSS Shanghai Chapter.
Haipeng Wang (S’03–M’06–SM’16) received
the B.S. and M.S. degrees in mechanical and electronic engineering from the Harbin Institute of Technology, Harbin,
China, in 2001 and 2003, respectively, and the Ph.D. degree in environmental systems engineering from the Kochi
University of Technology, Kochi, Japan, in 2006.
He was a Visiting Researcher with the University of Waseda, Tokyo, Japan, in 2008. He is currently an Associate
Professor with the Key Laboratory of Electromagnetic Wave Information Science (MoE), Department of Communication
Science and Engineering, School of Information Science and Engineering, Fudan University, Shanghai, China. His
research interests include signal processing, SAR image processing and analysis, speckle statistics, and applications
to forestry and oceanography, machine learning and its applications to SAR images.
Dr. Wang has been a member of the Technical Program Committee of the IEEE Geoscience and Remote Sensing Symposium
since 2011. He was the recipient of the Dean Prize of School of Information Science and Engineering, Fudan University
in 2009. He is the secretary of the IEEE GRSS Shanghai Chapter.View more
