Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine

	Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine
	Jun Liu; Xiran Zhou; Junyi Huang; Shuguang Liu; Huali Li; Shan Wen; Junchen Liu
刊名	MULTIMEDIA SYSTEMS
	2017
文献子类	期刊论文
英文摘要	Accurate hyperspectral image classification requires not only image features but also semantic concept. Similarity and relevance relation are both key factors in building image features and semantic measurement. To perform hyperspectral image classification from the viewpoint of semantic, this study focuses on creating a semantic annotation-based image classification method with relevance and similarity measurement. First, the computational model of relevance vector machine is utilized to perform cluster computation for hyperspectral image data. Then multi-distance learning algorithm is optimized as holding capability for multiple dimensions data. The proposed multi-distance learning algorithm with multiple dimensions is used to measure the similarity, according to the result of cluster computation through relevance vector machine. Finally, semantic annotation is introduced to complete classification of hyperspectral image with semantic concept. Validation with the ground truth data illustrates that the proposed method can provide more accurate and integrated classification result compared with the other methodologies. Therefore, the integration of similarity and relevance measurement is able to improve the performance of hyperspectral image classification.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12495]
专题	深圳先进技术研究院_数字所
作者单位	MULTIMEDIA SYSTEMS
推荐引用方式 GB/T 7714	Jun Liu,Xiran Zhou,Junyi Huang,et al. Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine[J]. MULTIMEDIA SYSTEMS,2017.
APA	Jun Liu.,Xiran Zhou.,Junyi Huang.,Shuguang Liu.,Huali Li.,...&Junchen Liu.(2017).Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine.MULTIMEDIA SYSTEMS.
MLA	Jun Liu,et al."Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine".MULTIMEDIA SYSTEMS (2017).