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基于模糊推理的景像匹配区选取方法
引用本文:王莉,赵龙.基于模糊推理的景像匹配区选取方法[J].中国惯性技术学报,2008,16(5).
作者姓名:王莉  赵龙
作者单位:北京航空航天大学,自动化科学与电气工程学院,北京,100191
摘    要:为提高景像匹配区选取的可靠性,提出一种基于模糊推理的景像匹配区选取方法。该方法首先计算基准图像的统计信息(方差、独立像元数、相关长度和可匹配条件数)和相关特征信息(主次峰值比和邻域峰值比);其次,利用matlab中的模糊工具箱定义了模糊推理系统的隶属度函数和模糊规则;然后,利用景像匹配计算机仿真系统对大量实测航片和卫片进行仿真验证,并通过匹配概率来进一步验证匹配区的选取结果。仿真结果表明,匹配区选取成功率大于98%,所得匹配区景像匹配成功率大于98%。

关 键 词:景像匹配  匹配区选取  模糊推理  指标体系

Selection method for SMA based on fuzzy inference
WANG Li,ZHAO Long.Selection method for SMA based on fuzzy inference[J].Journal of Chinese Inertial Technology,2008,16(5).
Authors:WANG Li  ZHAO Long
Abstract:To improve the reliability in selecting the Scene Matching Area(SMA),a selecting method for SMA based on fuzzy logic was presented.Firstly,the statistic and correlation character information of the image were calculated.Then,the membership function and fuzzy rules of the SMA selection was defined using Fuzzy Inference System(FIS) editor of fuzzy logic toolbox in Matlab.At last,the simulation experiments for the SMA selection were completed by using large amount of real aerial photos and satellite images in the computer simulation system of scene matching.Simulation results validate that the success probability of the SMA selection has reached more than 98%,and the matching probability has reached more than 98% in SMA.
Keywords:scene matching  selection rule of SMA  fuzzy inference  index system
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