Multi-scale superpixel spectral-spatial classification of hyperspectral images
文献类型：期刊论文
| 作者 | Li, Shanshan1; Ni, Li1; Jia, Xiuping1; Gao, Lianru1; Zhang, Bing1; Peng, Man1 |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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