Multi-scale superpixel spectral-spatial classification of hyperspectral images

	Multi-scale superpixel spectral-spatial classification of hyperspectral images
	Li, Shanshan 1; Ni, Li 1; Jia, Xiuping 1; Gao, Lianru 1; Zhang, Bing 1; Peng, Man 1
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2016
卷号	37 期号:20 页码:4905-4922
关键词	IMAGE-ANALYSIS RANDOM FOREST CLASSIFICATION SEGMENTATION SCALE
通讯作者	Ni, L (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
英文摘要	A novel multi-scale superpixel-based spectral-spatial classification (MS-SSC) approach is proposed for hyperspectral images in this study. Superpixels are considered as the basic processing units for spectral-spatial-based classification. The use of multiple scales allows the capturing of local spatial structures of various sizes. The proposed technique consists of three steps. In the first step, hierarchical superpixel segmentations are performed from fine to coarse scales for the original hyperspectral image and the spectral information of each superpixel is used for classification at each scale. In the second step, each single scale superpixel-based classification is improved by combining with the segmentations at a higher level. Finally, the multi-scale classification is achieved via decision fusion. Experimental results are presented for two hyperspectral images and compared with recently advanced pixel-wise and pixel-based spectral-spatial classification approaches. The experiments demonstrate that the proposed method works effectively on the homogeneous regions and is also able to preserve the small local spatial structures in the image.
学科主题	Remote Sensing; Imaging Science & Photographic Technology
类目[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI
语种	英语
WOS记录号	WOS:000384402500010
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39327]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China 2.Univ New South Wales, China Remote Sensing Satellite Ground Stn, Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Li, Shanshan,Ni, Li,Jia, Xiuping,et al. Multi-scale superpixel spectral-spatial classification of hyperspectral images[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2016,37(20):4905-4922.
APA	Li, Shanshan,Ni, Li,Jia, Xiuping,Gao, Lianru,Zhang, Bing,&Peng, Man.(2016).Multi-scale superpixel spectral-spatial classification of hyperspectral images.INTERNATIONAL JOURNAL OF REMOTE SENSING,37(20),4905-4922.
MLA	Li, Shanshan,et al."Multi-scale superpixel spectral-spatial classification of hyperspectral images".INTERNATIONAL JOURNAL OF REMOTE SENSING 37.20(2016):4905-4922.