A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm
文献类型：期刊论文
| 作者 | Gao, Lianru1; Zhuang, Lina1; Wu, Yuanfeng1; Sun, Xu1; Zhang, Bing1 |
| 刊名 | Soft Computing
 |
| 出版日期 | 2016 |
| 卷号 | 20期号:12页码:4669-4683 |
| 关键词 | CANONICAL CORRELATION-ANALYSIS PACIFIC CLIMATE VARIABILITY NORTH PACIFIC SURFACE TEMPERATURE SST DATA ENSO OSCILLATION EVENTS EASTERN |
| 通讯作者 | Wu, Yuanfeng (wuyf@radi.ac.cn) |
| 英文摘要 | Linear spectral unmixing is a very important technique in hyperspectral image analysis. It contains two main steps. First, it finds spectrally unique signatures of pure ground components (called endmembers); second, it estimates their corresponding fractional abundances in each pixel. Recently, a discrete particle swarm optimization (DPSO) algorithm was introduced to accurately extract endmembers with high optimal performance. However, because of its limited feasible solution space, DPSO necessarily needs a small amount of candidate endmembers before extraction. Consequently, how to provide a suitable candidate endmember set, which has not been analyzed yet, is a critical issue in using DPSO for unmixing problem. In this study, three representative pure pixel-based methods, pixel purity index, vertex component analysis (VCA), and N-FINDR, are quantitatively compared to provide candidate endmembers for DPSO. The experiments with synthetic and real hyperspectral images indicate that VCA is the most reliable preprocessing implementation for DPSO. Further, it can be concluded that DPSO with the proposed preprocessing implementations given in this paper is robust for endmember extraction. © 2014, Springer-Verlag Berlin Heidelberg. |
| 学科主题 | Computer Science |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20144600196048 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39331]  |
| 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. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100094, China 3. University of Chinese Academy of Sciences, Beijing 4.100049, China |
| 推荐引用方式 GB/T 7714 | Gao, Lianru,Zhuang, Lina,Wu, Yuanfeng,et al. A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm[J]. Soft Computing,2016,20(12):4669-4683. |
| APA | Gao, Lianru,Zhuang, Lina,Wu, Yuanfeng,Sun, Xu,&Zhang, Bing.(2016).A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm.Soft Computing,20(12),4669-4683. |
| MLA | Gao, Lianru,et al."A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm".Soft Computing 20.12(2016):4669-4683. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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