| 小波多尺度分解及其在SAR图象目标检测中的应用 |
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| 引用本文： | 李文博,罗代升,余艳梅,吴晓红.小波多尺度分解及其在SAR图象目标检测中的应用[J].四川大学学报(自然科学版),2006,43(2):345-349. |
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| 作者姓名： | 李文博 罗代升 余艳梅 吴晓红 |
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| 作者单位： | 四川大学电子信息学院,成都,610064 |
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| 摘 要： | 合成孔径雷达图象的目标检测是最重要的任务之一.目前用于目标检测的现有方法速度较慢、准确率较低、精度较差.作者提出小波分解的方法用于目标检测.同尺度目标检测采用二维离散二进小波分解方法,提高检测速度.不同尺度的目标检测采用多尺度二维离散小波分解方法,提高检测准确率.图象匹配采用灰度归一化的灰度相关匹配方法,提高匹配精度.实验证明,采用该法进行目标检测能获得较好的效果.
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| 关 键 词： | 合成孔径雷达成像 目标检测 小波分解 图象匹配 灰度相关 |
| 文章编号： | 0490-6756（2006）02-0345-05 |
| 收稿时间： | 8/8/2005 12:00:00 AM |
| 修稿时间： | 2005-08-08 |
Multiscale Wavelet Decomposition and Application in Object Detection of SAR Images |
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| LI Wen-bo,LUO Dai-sheng,YU Yan-mei,WU Xiao-hong.Multiscale Wavelet Decomposition and Application in Object Detection of SAR Images[J].Journal of Sichuan University (Natural Science Edition),2006,43(2):345-349. |
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| Authors: | LI Wen-bo LUO Dai-sheng YU Yan-mei WU Xiao-hong |
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| Institution: | School of Electronics and Information EngineeringSichuan University,School of Electronics and Information EngineeringSichuan University,School of Electronics and Information EngineeringSichuan University,School of Electronics and Information EngineeringSichuan University |
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| Abstract: | Synthetic aperture radar(SAR) imaging is an absolutely necessary means in modern mapping and military spying.Object detection in SAR images is one of the most important tasks.Nowadays,most of the existing methods used for object detections are of slower computation,less correctness,and lower accuracy. A method using wavelet transform is proposed for object detection.For object detection in same scale,two-dimensional discrete bit wavelet decomposition is applied to speed up computation.In different scales,mu... |
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| Keywords: | synthetic aperture radar imaging object detection wavelet decomposition image matching intensity correlation |
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