Response of fuzzy clustering on different threshold determination algorithms in spectral change vector analysis over Western Himalaya, India
文献类型：期刊论文
| 作者 | SINGH Sartajvir; TALWAR Rajneesh |
| 刊名 | Journal of Mountain Science
 |
| 出版日期 | 2017-07 |
| 卷号 | 14期号:7页码:1391-1404 |
| 关键词 | Change Vector Analysis (Cva) Fuzzy Maximum Likelihood Classification (Fmlc) Double-window Flexible Pace Search (Dfps) Interactive Trial And Error (t&e) Pixel Kernel Window (Pkw) |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-016-4248-0 |
| 通讯作者 | SINGH Sartajvir |
| 文献子类 | 期刊论文 |
| 英文摘要 | Change detection is a standard tool to extract and analyze the earth's surface features from remotely sensed data. Among the different change detection techniques, change vector analysis (CVA) have an exceptional advantage of discriminating change in terms of change magnitude and vector direction from multispectral bands. The estimation of precise threshold is one of the most crucial task in CVA to separate the change pixels from unchanged pixels because overall assessment of change detection method is highly dependent on selected threshold value. In recent years, integration of fuzzy clustering and remotely sensed data have become appropriate and realistic choice for change detection applications. The novelty of the proposed model lies within use of fuzzy maximum likelihood classification (FMLC) as fuzzy clustering in CVA. The FMLC based CVA is implemented using diverse threshold determination algorithms such as double-window flexible pace search (DFPS), interactive trial and error (T&E), and 3×3‒pixel kernel window (PKW). Unlike existing CVA techniques, addition of fuzzy clustering in CVA permits each pixel to have multiple class categories and offers ease in threshold determination process. In present work, the comparative analysis has highlighted the performance of FMLC based CVA over improved SCVA both in terms of accuracy assessment and operational complexity. Among all the examined threshold searching algorithms, FMLC based CVA using DFPS algorithm is found to be the most efficient method. |
| 语种 | 英语 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/18932]  |
| 专题 | Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.7 |
| 推荐引用方式 GB/T 7714 | SINGH Sartajvir,TALWAR Rajneesh. Response of fuzzy clustering on different threshold determination algorithms in spectral change vector analysis over Western Himalaya, India[J]. Journal of Mountain Science,2017,14(7):1391-1404. |
| APA | SINGH Sartajvir,&TALWAR Rajneesh.(2017).Response of fuzzy clustering on different threshold determination algorithms in spectral change vector analysis over Western Himalaya, India.Journal of Mountain Science,14(7),1391-1404. |
| MLA | SINGH Sartajvir,et al."Response of fuzzy clustering on different threshold determination algorithms in spectral change vector analysis over Western Himalaya, India".Journal of Mountain Science 14.7(2017):1391-1404. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。