计算机与现代化Issue(6)：108-112,115,6.DOI:10.3969/j.issn.1006-2475.2013.06.028
一种基于改进SIFT算法的SAR图像匹配方法研究
Research on a SAR Image Matching Method Based on Improved SIFT Algorithm
摘要
Abstract
In order to improve the stability and rapidity of synthetic aperture radar(SAR) images matching,an improved SIFT algorithm is proposed.At first,using the Canny edge detection algorithm instead of the original algorithm extracts feature points to optimize the main direction of the SIFT feature vectors,for the problem of speckle noise of SAR images,using a threshold adaptive Contourlet transform to suppress noise and then using the improved principal component analysis (PCA) algorithm to reduce dimensions of features extracted before.Compared with the existing method,the improved SIFT algorithm not only maintains the richness of characteristics but also greatly simplifies the computational complexity and improvs the speed of operation.Experiments shows that the improved SIFT algorithm is able to overcome variations of the scale,rotation and resolution to match two images with faster speed and higher accuracy.关键词
图像匹配/合成孔径雷达/边缘检测/Contourlet变换/相干斑噪声Key words
image matching/SAR/edge detection/Contourlet transform/speckle noise分类
信息技术与安全科学引用本文复制引用
赵博毅,张科..一种基于改进SIFT算法的SAR图像匹配方法研究[J].计算机与现代化,2013,(6):108-112,115,6.基金项目
国家自然科学基金资助项目(61101191) （61101191）
陕西省科技计划项目(2012K06-06) （2012K06-06）
