| 引用本文: | 贾承丽,匡纲要,粟毅.基于Hough变换的高分辨SAR图像道路目标检测.[J].国防科技大学学报,2004,26(1):50-55.[点击复制] |
| JIA Chengli,KUANG Gangyao,SU Yi.Road Extraction from the High-resolution SAR Imagery Using Hough Transform[J].Journal of National University of Defense Technology,2004,26(1):50-55[点击复制] |
|
| |
|
|
| 本文已被：浏览 7131次 下载 6040次 |
| 基于Hough变换的高分辨SAR图像道路目标检测 |
| 贾承丽, 匡纲要, 粟毅 |
|
(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
|
| 摘要: |
| 给出了一种检测高分辨率SAR图像道路目标的方法。该方法首先对原始图像进行一系列的预处理，然后利用Hough变换识别道路。在提取感兴趣区域时，该算法采用了高斯概率迭代方法代替了一般的CFAR检测或阈值分割；在进行Hough变换时，该算法用平均Hough变换代替一般的Hough变换；在检测变换域峰值点时，采用了结合全局CFAR检测的最大值点搜索的方法；最后对检测出来的准道路，该算法根据道路的独具性质进行鉴别，以确定其是否确实为道路。使用MSTAR Redstone实测杂波图进行实验，取得了满意的效果。 |
| 关键词: 道路目标检测 合成孔径雷达 Hough变换 CFAR检测 |
| DOI： |
| 投稿日期：2003-09-04 |
| 基金项目:国家部委资助项目(41322020401) |
|
| Road Extraction from the High-resolution SAR Imagery Using Hough Transform |
| JIA Chengli, KUANG Gangyao, SU Yi |
|
(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
|
| Abstract: |
| Extraction of roads from the high-resolution SAR imagery is described. The method employs Hough Transform to identify roads, followed by a series of pre-processes. Gaussian probability iteration method instead of usually used CFAR detector or threshold segmentation is employed to identify the regions of interest. The generally used Hough Transform is replaced by the average Hough Transform. The peak values in the transform area are detected by a maximum search integrating global CFAR detector. Finally, a unique geometric constraint is used to discriminate the potential roads. High-resolution SAR images of MSTAR Redstone are used to illustrate our method, and the performance is satisfactory. |
| Keywords: automatic target detection road detection hough transform synthetic aperture radar |
|
|
