MVLL算法中地表断裂特征的自适应窗口变化策略研究

¹信息工程大学测绘学院,郑州市陇海中路66号450052;²北京大学遥感与地理信息系统研究所,北京市海淀区颐和园路5号,100871;³东华理工大学江西省数字国土重点实验室,抚州市学府路56号,344000

基金项目: 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)

详细信息

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)

摘要: 针对线阵CCD影像,研究了MVLL算法的匹配走向,得出了匹配走向即建筑物底部至对应屋顶的连线在匹配过程中为近似直线的结论。分析了MVLL算法中地表断裂特征通常匹配至屋底的匹配难点,改进了相关参数自适应调整算法,给出了自适应窗口变化算法的流程。两组ADS40线阵影像的断裂特征匹配实验表明,经过自适应窗口变化后,地表断裂特征能够成功匹配,MVLL算法的自适应性增强。
- MVLL /
- 匹配走向 /
- 断裂特征 /
- 窗口变化 /
- 相关系数
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.
- MVLL /
- matching line /
- discontinuity feature /
- window extension /
- correlation coefficients