Identification of changes in urban land cover type using fully polarimetric SAR data
文献类型：期刊论文
| 作者 | Xie, Lei1; Zhang, Hong1; Liu, Meng1; Wang, Chao1 |
| 刊名 | Remote Sensing Letters
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:7页码:691-700 |
| 关键词 | INTERFEROGRAM FILTER RADAR INTERFEROMETRY DECOMPOSITION SURFACE REDUCTION |
| 通讯作者 | Zhang, Hong (zhanghong@radi.ac.cn) |
| 英文摘要 | Multitemporal fully polarimetric synthetic aperture radar (SAR) images have been successfully used for land use change detection. In urban expansion monitoring, we are interested not only in changes in defined areas but also those that change from one type to another. This letter presents a supervised urban land cover change detection method based on a series of the normalized difference ratio operators, which are generated by the polarimetric descriptors from SAR observables and polarimetric decomposition. The k-nearest neighbour classifier, superpixel segmentation method, and linear discriminant analysis technique are introduced to improve the accuracy and efficiency of the experiments. Compared with several previous methods, the proposed method avoids the repetitive classification processing of the used polarimetric SAR (PolSAR) images and the selection of the optimum polarimetric descriptors. Real fully PolSAR images are used for experimental analyses and validation of the proposed method. The classification accuracies for the change classes can approximately reach 80%, which demonstrates the effectiveness and usefulness of the proposed method. © 2016 Informa UK Limited, trading as Taylor & Francis Group. |
| 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:20162202448994 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39342]  |
| 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, China 2. College of Resources and Environment, College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Xie, Lei,Zhang, Hong,Liu, Meng,et al. Identification of changes in urban land cover type using fully polarimetric SAR data[J]. Remote Sensing Letters,2016,7(7):691-700. |
| APA | Xie, Lei,Zhang, Hong,Liu, Meng,&Wang, Chao.(2016).Identification of changes in urban land cover type using fully polarimetric SAR data.Remote Sensing Letters,7(7),691-700. |
| MLA | Xie, Lei,et al."Identification of changes in urban land cover type using fully polarimetric SAR data".Remote Sensing Letters 7.7(2016):691-700. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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