Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (24): 178-179.DOI: 10.3778/j.issn.1002-8331.2009.24.053

• 图形、图像、模式识别 • Previous Articles     Next Articles

Optical and SAR images’ feature fusion

LI Jing-xu   

  1. School of Electronic and Information Engineering,Beihang University,Beijing 100083,China
  • Received:2008-05-09 Revised:2008-08-11 Online:2009-08-21 Published:2009-08-21
  • Contact: LI Jing-xu

可见光与SAR图像的特征级融合

李璟旭   

  1. 北京航空航天大学 电子信息工程学院,北京 100083

  • 通讯作者: 李璟旭

Abstract: Aiming at single sensor’s limitation on spectrum and spatial resolution,this paper uses the technology of multi-sensor fusion,which furthest obtains the information description of target scene.This paper firstly adopts different edge detection to extract the same scene’s optical image and SAR image,obtaining each one’s edge feature image.By adopting the methods of moment invariants and contour-based moment to match each edge in the two edge feature images,this paper obtains the clearer and even more complete image.

Key words: edge detection, image matching, image fusion

摘要: 针对单一传感器在光谱、空间分辨率等方面存在的局限性,通过多传感器融合技术,最大限度地获取对目标场景的信息描述。首先采用不同的边缘提取算法提取同一场景的光学图像和SAR图像,得到各自的边缘特征图,通过不变矩和轮廓矩等算法对两幅边缘特征图中的边缘进行匹配融合,得到了比单一图像边缘特征图更完整更清晰的边缘特征图

关键词: 边缘提取, 图像匹配, 图像融合

CLC Number: