| 基于小面元的多源遥感影像高精度配准方法 |
| |
| 引用本文： | 邢帅,谭兵,李建胜,徐青,耿则勋.基于小面元的多源遥感影像高精度配准方法[J].测绘学院学报,2003,20(2):124-128. |
| |
| 作者姓名： | 邢帅 谭兵 李建胜 徐青 耿则勋 |
| |
| 作者单位： | 信息工程大学测绘学院 河南郑州450052
(邢帅，谭兵，李建胜，徐青)，信息工程大学测绘学院 河南郑州450052(耿则勋) |
| |
| 摘 要： | 基于几种高精度的匹配方法，引入了小面元微分纠正的思想，设计出一种高精度影像相对配准方法。实验结果表明，该方法对多种遥感影像有很强的适应性，相对配准精度高，尤其适用于变形明显或山区多源影像间的高精度配准。
|
| 关 键 词： | 多源遥感影像 高精度配准 匹配 小面元纠正 |
Approach of High Accurate Multisensor Remote Sensing Images Registration Based on Tiny Facet Primitive |
| |
| XING Shuai,TAN Bing,LI Jian-sheng,XU Qing,GENG Ze-xun.Approach of High Accurate Multisensor Remote Sensing Images Registration Based on Tiny Facet Primitive[J].Journal of Institute of Surveying and Mapping,2003,20(2):124-128. |
| |
| Authors: | XING Shuai TAN Bing LI Jian-sheng XU Qing GENG Ze-xun |
| |
| Abstract: | Based on several high accurate image matching algorithms, a method of relatively registering images at high accuracy has been proposed in this paper, which combines digital differential rectification with tiny facet primitive. Results of the experiment show that this method is adaptive for various RS images and can achieve high accuracy, especially suitable for images with evident distortion and mountainous images. |
| |
| Keywords: | multisensor RS images high accurate registration matching rectification with tiny facet primitive |
| 本文献已被 CNKI 维普 等数据库收录！ |
