Volume 36 Issue 2
Feb.  2011
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JI Song, FAN Dazhao, ZHANG Yongsheng, LIU Hangye. Self-adaptive Window Extension Strategies of Discontinuity Features for MVLL Algorithm[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 199-203.
Citation: JI Song, FAN Dazhao, ZHANG Yongsheng, LIU Hangye. Self-adaptive Window Extension Strategies of Discontinuity Features for MVLL Algorithm[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 199-203.
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Self-adaptive Window Extension Strategies of Discontinuity Features for MVLL Algorithm

  • 1Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China;2 Institute of Remote Sensing and GIS,Peking University,5 Yiheyuan Road,Haidian District,Beijing 100871,China;3 Jiangxi Province Key Lab for Digital Land,East China Institute of Technology,56 Xuefu Road,Fuzhou 344000,China

Funds: 国家863计划资助项目(2006AA12Z154)；国家自然科学基金资助项目(40901179)；江西省数字国土重点实验室开放研究基金资助项目(DLLJ201001,DLLJ201003)
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  • Received Date: December 14, 2010
  • Published Date: February 04, 2011
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    • Abstract
  • Matching line of MVLL algorithm was investigated for line-array CCD images,and it can be concluded that the matching line was the line between top feature and its corresponding bottom feature and can be regarded as a straight line.For MVLL algorithms,the difficulties of discontinuity feature that usually matched to the bottom were analyzed,and the algorithm of self-adaptive adjustment of correlation parameters was improved.After the process of self-adaptive window extension algorithm was given.The matching experiments were done on discontinuity features using two ADS40 line-array image datasets.The results show that,after applying the self-adaptive window extension algorithm,discontinuity features could be successfully matched and the self-adaptive function of MVLL algorithm was thus enhanced.
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