| 摘要: |
| 合成孔径雷达（SAR）成像制导通常采用光学基准图和SAR实时图
进行特征提取和景象匹配。提出了一种光学/SAR异类影像匹配方法，利用多尺度多方向Gabo
r模板提取图像的Gabor特征后进行特征匹配，首先对SAR图像进行方向Frost滤波预处理，然
后分别计算光学图像和SAR图像的高斯梯度图像，再利用多尺度多方向二维Gabor滤波器模板
分别对两幅高斯梯度图像进行特征提取，最后对两组特征矩阵进行归一化互相关匹配。该方
法直接利用光学图像和SAR实时图进行景象匹配，实验表明，该异类影像匹配方法较其他传
统方法具有较高的鲁棒性和准确性。 |
| 关键词: 光学图像 SAR图像 景象匹配 Gabor滤波模板 归一化互相关
匹配 |
| DOI： |
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| 基金项目: |
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| Optical/SAR scene matching based on two-dimensional multi-scale and multi-direction Gabor templates |
| JIANG Yun-hui |
| () |
| Abstract: |
| Generally optical reference image and SAR real-time image are used for feature e
xtraction and scene matching in SAR（Synthetic Aperture Radar）imaging guidance.
The heterogenous optical/SAR image matching method proposed in this paper extra
cts and matches image Gabor features using two-dimensional multi-scale and multi
-direction Gabor templates. Firstly,directional Frost filtering preprocessing on
SAR image is performed. Secondly,the Gaussian gradient image of the optical and
SAR image are calculated respectively. Then,features are extracted from the two
Gaussian gradient images using multi-scale and multi-direction two-dimensional
Gabor filter group respectively. Finally,NCC(normalized cross-correlation) match
ing on the two characteristic matrixes is performed.
The proposed method implements scene matching using optical image and real-time
SAR image directly. The experiment result shows that the heterogenous image matc
hing method is more robust and accurate than other traditional methods. |
| Key words: optical image SAR image scene matching Gabor filter
ing templates normalized cross-correlation matching |
《电讯技术》编辑部 