Hyperspectral image classification based on multiple kernel mutual learning

doi:10.1016/j.infrared.2019.04.004

	Hyperspectral image classification based on multiple kernel mutual learning
	Cui, Binge 1; Zhong, Liwei 1; Yin, Bei 1; Ren, Guangbo 2; Lu, Yan 1
刊名	INFRARED PHYSICS & TECHNOLOGY
	2019-06
卷号	99 页码:113-122
关键词	Mutual learning Multiple kernel learning Hyperspectral images Classification
ISSN号	1350-4495
DOI	10.1016/j.infrared.2019.04.004
英文摘要	Multiple kernel learning (MKL) is a popular and effective method for hyperspectral image classification. However, the communication and interaction among multiple basic kernels are insufficient among multiple basic kernels during the whole training process for traditional MKL methods. In this paper, a multiple kernel learning framework based on self-learning and mutual learning (MKML) is proposed. First, each basic kernel starts pretraining with its own training samples and then uses a trained model to make predictions. Second, the basic kernel selects some informative unlabeled samples with high entropy and queries other basic kernels for labeling. All basic kernels except the one that raised the problem negotiate together to determine the class label of the unlabeled samples. Third, the new pseudo-labeled samples are added to the initial training sample sets to train the model again. Finally, all basic kernels are combined to obtain excellent classification performance by the voting mechanism. The methodology is validated on three real hyperspectral images. The experimental results show that the proposed method exhibits better classification performance than well-known MKL methods.
资助项目	National Natural Science Foundation of China (NSFC)[41406200]
WOS关键词	ENSEMBLE ; INFORMATION
WOS研究方向	Instruments & Instrumentation ; Optics ; Physics
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000470940200014
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/24636]
专题	自然资源部第一海洋研究所
通讯作者	Lu, Yan
作者单位	1.Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Shandong, Peoples R China 2.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Cui, Binge,Zhong, Liwei,Yin, Bei,et al. Hyperspectral image classification based on multiple kernel mutual learning[J]. INFRARED PHYSICS & TECHNOLOGY,2019,99:113-122.
APA	Cui, Binge,Zhong, Liwei,Yin, Bei,Ren, Guangbo,&Lu, Yan.(2019).Hyperspectral image classification based on multiple kernel mutual learning.INFRARED PHYSICS & TECHNOLOGY,99,113-122.
MLA	Cui, Binge,et al."Hyperspectral image classification based on multiple kernel mutual learning".INFRARED PHYSICS & TECHNOLOGY 99(2019):113-122.