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An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification
Nie, Xiangli1; Ding, Shuguang2; Huang, Xiayuan1; Qiao, Hong1,3,4; Zhang, Bo5,6,7; Jiang, Zhong-Ping8
2019
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
Volume12Issue:1Pages:302-320
AbstractPolarimetric synthetic aperture radar (PolSAR) data are sequentially acquired and usually large scale. Fast and accurate classification is particularly important for their applications. By introducing online learning, the PolSAR system can learn a classification model incrementally from a stream of instances, which is of high efficiency for newly arrived samples processing, strong adaptability for a dynamically changing environment, and excellent scalability for rapidly increasing data. In this paper, we propose an Online Multi-view Passive-Aggressive learning algorithm, named OMPA, for PolSAR data real-time classification. The polarimetric, color, and texture features are extracted to characterize PolSAR data, and each type of features corresponds to one view. In order to exploit the consistency and complementary property of these views, we give a new optimization model that ensembles the classifiers of multiple distinct views and enforces the agreement between each predictor and the combined predictor. The corresponding algorithms for both binary and multiclass classification tasks are derived, and the update steps have analytical solutions. In addition, we rigorously derive a bound on the number of prediction mistakes of the method. The proposed OMPA algorithm is evaluated on two real PolSAR datasets for built-up areas extraction and land cover classification, respectively. Experimental results demonstrate that OMPA consistently maintains a smaller mistake rate with low time cost and achieves about 1% and 2% accuracy improvements on the datasets, respectively, compared with the best results of the previously known online single-view and multiview learning methods.
KeywordMultiview learning online classification passive-aggressive (PA) algorithm polarimetric synthetic aperture radar (PolSAR)
DOI10.1109/JSTARS.2018.2886821
Language英语
Funding ProjectBeijing Natural Science Foundation[4174107] ; National Natural Science Foundation of China[61602483] ; National Natural Science Foundation of China[91648205] ; National Natural Science Foundation of China[61802408] ; National Natural Science Foundation of China[U1435220]
WOS Research AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000457074900025
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/32478
Collection应用数学研究所
Affiliation1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Meituan Dianping Grp, Beijing 100096, Peoples R China
3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
5.Chinese Acad Sci, LSEC, Beijing 100190, Peoples R China
6.Chinese Acad Sci, AMSS, Inst Appl Math, Beijing 100190, Peoples R China
7.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
8.NYU, Tandon Sch Engn, Dept Elect & Comp Engn, Brooklyn, NY 11201 USA
Recommended Citation
GB/T 7714
Nie, Xiangli,Ding, Shuguang,Huang, Xiayuan,et al. An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(1):302-320.
APA Nie, Xiangli,Ding, Shuguang,Huang, Xiayuan,Qiao, Hong,Zhang, Bo,&Jiang, Zhong-Ping.(2019).An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,12(1),302-320.
MLA Nie, Xiangli,et al."An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 12.1(2019):302-320.
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