A method based on the adaptive cuckoo search algorithm for endmember extraction from hyperspectral remote sensing images
文献类型：期刊论文
| 作者 | Zhao, Huihui1; Jiang, Yangming1; Wang, Tuo1; Cui, Weihong1; Li, Xiaowen1 |
| 刊名 | Remote Sensing Letters
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:3页码:289-297 |
| 关键词 | SPARSE REPRESENTATION TEXTURE FEATURES RANDOM-FIELDS CLASSIFICATION MARKOV MODEL RECOGNITION |
| 通讯作者 | Zhao, Huihui (zhaohh@radi.ac.cn) |
| 英文摘要 | In this letter, an endmember extraction approach based on an adaptive cuckoo search (ACS) algorithm (ACSEE) is proposed for hyperspectral remote sensing imagery. In the proposed algorithm, the problem of endmember extraction is transformed into combinatorial optimization of the candidate endmembers. The effectiveness of the cuckoo search algorithm is demonstrated by its good balance between exploitation of Lévy flights and random walk, which leads the algorithm to effectively explore the solution space and locate potential solutions to avoid falling into local optima. Furthermore, to improve the convergence characteristics of the original cuckoo search algorithm, a new strategy combined with historical information is proposed to accelerate the search process by adjusting the step size of the Lévy flights. The results of experiments conducted using simulated data and well-known hyperspectral remote sensing data indicate that the proposed ACS algorithm can be used as an alternative tool to solve the problem of endmember extraction on account of its robust stability and guarantee of optimal performance. © 2015 Taylor & Francis. |
| 学科主题 | Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20160401831276 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39463]  |
| 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. University of Chinese Academy of Sciences, Beijing, China 2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 3. National Engineering Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Zhao, Huihui,Jiang, Yangming,Wang, Tuo,et al. A method based on the adaptive cuckoo search algorithm for endmember extraction from hyperspectral remote sensing images[J]. Remote Sensing Letters,2016,7(3):289-297. |
| APA | Zhao, Huihui,Jiang, Yangming,Wang, Tuo,Cui, Weihong,&Li, Xiaowen.(2016).A method based on the adaptive cuckoo search algorithm for endmember extraction from hyperspectral remote sensing images.Remote Sensing Letters,7(3),289-297. |
| MLA | Zhao, Huihui,et al."A method based on the adaptive cuckoo search algorithm for endmember extraction from hyperspectral remote sensing images".Remote Sensing Letters 7.3(2016):289-297. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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