国土资源遥感Issue(2)：28-33,6.DOI:10.6046/gtzyyg.2012.02.06
基于FAST和SURF的遥感图像自动配准方法
An Automatic Registration Method of Remote Sensing Imagery Based on FAST Corner and SURF Descriptor
摘要
Abstract
An automatic geometry registration method based on Features from Accelerated Segment Test (FAST) corner detector and Speeded Up Robust Features (SURF) is proposed in this paper. Firstly, applying HIS transform on both the reference image and the image to registration, and then building gauss pyramid of the images. Secondly, detecting and extracting the FAST corner points of both images, and calculating the SURF descriptors of the corner points, following by searching match point pairs by K - D tree. Thirdly, iteratively using partial minimum least squares to remove error point pairs and then calculate the geometry transform coefficients. Lastly, excuting the geometry transform to get the registration image. An experiment on two groups of images was performed, in which the proposed method was respectively compared with the automatic registration method based on SURF features and the method used in ENVI software to obtain ground control points automatically, and the results show that the proposed method can get more match points and obtain higher geometric accuracy, except which is slightly inferior to SURF algorithm in scale invariance.关键词
遥感图像/自动配准/FAST/SURF/高斯金字塔Key words
remote sensing imagery/automatic registration/features from accelerated segment test ( FAST)/speeded -up robust features (SURF)/gaussian pyramid分类
信息技术与安全科学引用本文复制引用
李慧,蔺启忠,刘庆杰..基于FAST和SURF的遥感图像自动配准方法[J].国土资源遥感,2012,(2):28-33,6.基金项目
国家"十一五"科技支撑重点项目(编号:2006BAB01A02)、中国科学院对地观测与数字地球科学中心数字地球科学平台重大项目(编号:DESP01-04-10)和国家自然科学基金项目(编号:41001266)共同资助. （编号:2006BAB01A02）
