An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification

doi:10.1109/JSTARS.2018.2886821

CSpace > 应用数学研究所

	An Online Multiview Learning Algorithm for PolSAR Data Real-Time Classification
	Nie, Xiangli 1; Ding, Shuguang 2; Huang, Xiayuan 1; Qiao, Hong 1,3,4; Zhang, Bo5,6,7 ; Jiang, Zhong-Ping 8
	2019
发表期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
卷号	12 期号:1 页码:302-320
摘要	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.
关键词	Multiview learning online classification passive-aggressive (PA) algorithm polarimetric synthetic aperture radar (PolSAR)
DOI	10.1109/JSTARS.2018.2886821
语种	英语
资助项目	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研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000457074900025
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/32478
专题	应用数学研究所
通讯作者	Zhang, Bo
作者单位	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
推荐引用方式 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.