An Agent-Based Artificial Bee Colony (ABC) Algorithm for Hyperspectral Image Endmember Extraction in Parallel
文献类型：期刊论文
| 作者 | Yang, Lina1; Sun, Xu1; Peng, Ling1; Yao, Xiaojing1; Chi, Tianhe1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 8期号:10(SI) |
| 关键词 | Artificial bee colony (ABC) endmember extraction (EE) multiagent parallel computing |
| 通讯作者 | Sun, X (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China. |
| 英文摘要 | Endmember extraction (EE) is an important process in hyperspectral image processing, and swarm intelligence algorithms have been developed to provide effective solutions for EE. However, these algorithms have limitations in terms of their calculation efficiency. To increase the computing speed of these algorithms by fully utilizing their potential parallel nature, this paper uses the artificial bee colony (ABC) algorithm to develop a multiagent system (MAS) for extracting endmembers from hyperspectral images. In this paper, EE is described as an optimization problem that involves the simplex volume and root-mean-square error (RMSE), and the ABC algorithm is used to obtain the optimal solution to the problem. To accelerate the execution of the ABC algorithm, it is incorporated into an established MAS platform that provides the advantages of high parallel computing efficiency, flexible system architecture, and responsive fault tolerance. Artificial bees and food sources, which are the two key components of the ABC algorithm, are implemented as standalone software agents. Different agents cooperate with each other via communication and produce the optimal solution. Comparative experiments are conducted to evaluate the performance of the agent-based ABC approach. The results indicate that the proposed agent-based ABC method can effectively solve the EE problem in distributive and high-speed computing environments. |
| 研究领域[WOS] | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000368904000006 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38086]  |
| 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.[Yang, Lina 2.Sun, Xu 3.Peng, Ling 4.Yao, Xiaojing 5.Chi, Tianhe] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Lina,Sun, Xu,Peng, Ling,et al. An Agent-Based Artificial Bee Colony (ABC) Algorithm for Hyperspectral Image Endmember Extraction in Parallel[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(10(SI)). |
| APA | Yang, Lina,Sun, Xu,Peng, Ling,Yao, Xiaojing,&Chi, Tianhe.(2015).An Agent-Based Artificial Bee Colony (ABC) Algorithm for Hyperspectral Image Endmember Extraction in Parallel.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(10(SI)). |
| MLA | Yang, Lina,et al."An Agent-Based Artificial Bee Colony (ABC) Algorithm for Hyperspectral Image Endmember Extraction in Parallel".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.10(SI)(2015). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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