One-Class Classification of Remote Sensing Images Using Kernel Sparse   Representation

doi:10.1109/JSTARS.2015.2508285

CORC > 北京大学 > 地球与空间科学学院

	One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation
	Song, Benqin ; Li, Peijun ; Li, Jun ; Plaza, Antonio
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2016
关键词	Kernel function one-class classification (OCC) remote sensing imagery sparse representations PARTIALLY SUPERVISED CLASSIFICATION SUPPORT VECTOR MACHINES HYPERSPECTRAL DATA DAMAGE DETECTION SAMPLES
DOI	10.1109/JSTARS.2015.2508285
英文摘要	Sparse representations have been widely studied in remote sensing image analysis in recent years. In this paper, we develop a novel method for one-class classification (OCC) using a kernel sparse representation model for remotely sensed imagery. Training samples taken from the target class alone are used to build a learning dictionary for the sparse representation model, which is then optimized to produce a reconstruction residual. In the proposed model, a pixel is classified as the target class if the obtained reconstruction residual for the pixel is smaller than a given threshold; otherwise, the pixel is labeled as the outlier class. To improve the data separability between the target and outliner classes, the training samples taken from the target class are mapped into a high-dimensional feature space using a kernel function to build a learning dictionary for the kernel sparse representation model. OCC is then conducted in the mapped high-dimensional feature space using the reconstruction residual threshold, following the same principle as OCC in the original feature space. The proposed OCC method is evaluated and compared with several existing OCC methods in three different case studies. The experimental results indicate that the proposed method outperforms these existing methods, particularly when using a kernel sparse representation.; SCI(E); EI; ARTICLE; pjli@pku.edu.cn; 4; 1613-1623; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/437428]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Song, Benqin,Li, Peijun,Li, Jun,et al. One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016.
APA	Song, Benqin,Li, Peijun,Li, Jun,&Plaza, Antonio.(2016).One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING.
MLA	Song, Benqin,et al."One-Class Classification of Remote Sensing Images Using Kernel Sparse Representation".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016).