| SAR图像与光学图像多子区鲁棒匹配算法 |
| |
| 引用本文： | 张绍明,陈鹰,林怡. SAR图像与光学图像多子区鲁棒匹配算法[J]. 同济大学学报(自然科学版), 2009, 37(1) |
| |
| 作者姓名： | 张绍明 陈鹰 林怡 |
| |
| 作者单位： | 同济大学,遥感与空间信息技术研究中心,上海,200092 |
| |
| 摘 要： | 提出了一种新的低空机载合成孔径雷达(SAR)图像与卫星光学图像的多子区匹配算法.算法中,依据SAR图像噪声特性,提出了用于SAR图像边缘提取的基于小波包变换的改进断面检测法.匹配中将低空SAR图像分为多个子区,利用子区影像频谱直方图等特性参量判别其可匹配性,并用各子区位置分布关系约束匹配结果.匹配搜索策略为基于提升小波的金字塔分层搜索.用低空SAR图像与SPOT-5卫星光学基准图进行了实验,结果表明该方法的有效性.
|
| 关 键 词： | 合成孔径雷达 景象匹配 边缘提取 小波包变换 频谱直方图 多子区 |
Robust Algorithm of Matching SAR Image to Optical Image Using Multiple Subarea |
| |
| ZHANG Shaoming,CHEN Ying and LIN Yi. Robust Algorithm of Matching SAR Image to Optical Image Using Multiple Subarea[J]. Journal of Tongji University(Natural Science), 2009, 37(1) |
| |
| Authors: | ZHANG Shaoming CHEN Ying LIN Yi |
| |
| Affiliation: | The Center of Remote Sensing and Spatial Informatics Technology, Tongji University, Shanghai 200092, China;The Center of Remote Sensing and Spatial Informatics Technology, Tongji University, Shanghai 200092, China;The Center of Remote Sensing and Spatial Informatics Technology, Tongji University, Shanghai 200092, China |
| |
| Abstract: | A novel algorithm of scene matching with spatial relation constrain was presented. The edge feature of SAR image was extracted via an improved contour detecting algorithm, which computed the gradient of pixels using wavelet packet transform. The real time image was divided into multiple subarea and each subarea was evaluated by the gray level standard deviation and the distance of spectral histogram. The spatial relationship of the subarea was applied to correct the matching result. The multiple layer search strategy based on lifting wavelet transform was used to improve the performance of the algorithm. The experiment result shows that the algorithm is effective and robust. |
| |
| Keywords: | SAR scene match edge extraction wavelet packet transform spectral histogram multiple subarea |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《同济大学学报(自然科学版)》浏览原始摘要信息 |
|
点击此处可从《同济大学学报(自然科学版)》下载全文 |
