Multi-Sensor SAR Image Registration Based on Object Shape
文献类型：期刊论文
| 作者 | Rui, Jie1; Wang, Chao1; Zhang, Hong1; Jin, Fei1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:11 |
| 关键词 | NIGHTTIME SATELLITE IMAGERY CONTERMINOUS UNITED-STATES IMPERVIOUS SURFACE LIGHT DATA URBANIZATION DYNAMICS POPULATION-DENSITY VEGETATION INDEXES HUMAN-SETTLEMENTS CITY LIGHTS CHINA |
| 通讯作者 | Wang, C (reprint author), Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. |
| 英文摘要 | Owing to significant differences in synthetic aperture radar (SAR) images caused by diverse imaging mechanisms and imaging conditions, inconsistent features and relationship correspondences constitute key problems for traditional image registration algorithms. This study presents a novel SAR image registration method based on the shape information of distinct ground objects, which is obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare the contours of objects and detect invariant control points. The experimental results show that the proposed method can achieve a reliable and stable registration performance for SAR images of different sensors. |
| 学科主题 | Remote Sensing |
| 类目[WOS] | Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000388798400044 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39236]  |
| 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.Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Zhengzhou Inst Surveying & Mapping, Zhengzhou 450052, Peoples R China |
| 推荐引用方式 GB/T 7714 | Rui, Jie,Wang, Chao,Zhang, Hong,et al. Multi-Sensor SAR Image Registration Based on Object Shape[J]. REMOTE SENSING,2016,8(11). |
| APA | Rui, Jie,Wang, Chao,Zhang, Hong,&Jin, Fei.(2016).Multi-Sensor SAR Image Registration Based on Object Shape.REMOTE SENSING,8(11). |
| MLA | Rui, Jie,et al."Multi-Sensor SAR Image Registration Based on Object Shape".REMOTE SENSING 8.11(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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