Volume 36 Issue 2
Feb.  2011
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WANG Ruirui, MA Jianwen, CHEN Xue. SIFT Algorithm Based on Visual Matching Window for Registration Between Multi-sensor Imagery[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 163-166.
Citation: WANG Ruirui, MA Jianwen, CHEN Xue. SIFT Algorithm Based on Visual Matching Window for Registration Between Multi-sensor Imagery[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 163-166.
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SIFT Algorithm Based on Visual Matching Window for Registration Between Multi-sensor Imagery

  • 1Institute of Remote Sensing Applications,Chinese Academy of Sciences,A20 Datun Road,Beijing 100101,China;2 Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,9 Zhongguancun,Beijing 100190,China;3 School of Graduate,Chinese Academy of Sciences,A19 Yuquan Road,Beijing 100049,China

Funds: 国家863计划资助项目(2007AA12Z157)；国家自然科学基金资助项目(40901234)；中国科学院知识创新工程青年人才领域前沿项目专项资助项目(O8S01100CX)
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  • Received Date: December 14, 2010
  • Published Date: February 04, 2011
    Graphical Abstract
    • Abstract
  • The imaging mechanism,acquired angle and resolution between imagery acquired by diverse remote sensing sensors are different,which throws a big difficulty in the registration between them.The SIFT algorithm has had a successful application in aerial and video images presently;however,when applying it in registration between imagery acquired by different sensors or with big differences in resolution and angle,few matching couples are obtained.Aiming to this problem,a new algorithm named SIFT based on visual matching window is proposed.By constructing the visual matching window,the scale similarity and matching probability between SIFT features are increased,and then combined with least-square equation and bilinear interpolation method,the automatic registration is achieved.SPOT-5(P) and TM images,which have big differences in acquired angle and resolution,were tested,and the results show that the precision is lower than 1 pixel.
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