KMS Of Academy of mathematics and systems sciences, CAS
| 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
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| 2019 | |
| Source Publication | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| ISSN | 1939-1404 |
| Volume | 12Issue:1Pages:302-320 |
| Abstract | Polarimetric 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. |
| Keyword | Multiview learning online classification passive-aggressive (PA) algorithm polarimetric synthetic aperture radar (PolSAR) |
| DOI | 10.1109/JSTARS.2018.2886821 |
| Language | 英语 |
| Funding Project | Beijing 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 Area | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS Subject | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000457074900025 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/32478 |
| Collection | 应用数学研究所 |
| Corresponding Author | Zhang, Bo |
| Affiliation | 1.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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