基于AMMGC三线阵影像多视匹配模型的DSM自动提取  

Automatic DSM generation from three-line-array digital images based on AMMGC multiple-image matching model

作　　者：纪松[1] 范大昭[1] 张永生[1] 董广军[1] 初艳锋[1,2] 

机构地区：[1]信息工程大学测绘学院,郑州450052 [2]65015部队,辽宁大连116023

出　　处：《测绘科学》2009年第2期139-141,共3页Science of Surveying and Mapping

基　　金：武汉大学测绘遥感信息工程国家重点实验室开放课题基金;广东省环境科学与技术公共实验室开放基金(编号:060203);现代工程测量国家测绘局重点实验室开放课题基金(编号:ES-SBSM-(06)-03);信息工程大学测绘学院优秀硕士论文基金

摘　　要：提出了适用于三线阵数字影像多视匹配的AMMGC模型,该模型综合利用多张线阵影像,减少信息盲区,提高匹配成功率,较大程度上克服了传统双像匹配模型的不足。AMMGC模型通过金字塔影像传递匹配初值,利用匹配检查策略检验匹配结果,非常适用于特征点与格网点匹配。运用ADS40三线阵数字影像对AMMGC匹配模型进行系统试验,结果表明:该模型能够从影像上获取大量同名像点,生成密集DSM,在DSM自动采集方面具有较强的可行性与实用性。AMMGC, a multiple-image matching model for three-line-array digital images, is proposed in this paper. The model uses more than two line-array digital images to avoid blind information area and improve the successful rate of image matching. Therefore, drawbacks in traditional single stereo matching model can be overcome. In AMMGC model, image pyramid is used to provide initial matching values, and image checking strategies are used to check matching results. So, AMMGC model is appropriate for the matc- hing of feature points and grid points. Systematic experiments were done on ADS40 three-line-array digital images, and the experimental results show that AMMGC model can extract massive homogeneous image points to form dense DSM, and has great feasibility and adaptability for automatic DSM generation.

关 键 词：AMMGC DSM 多视匹配 ADS40 三线阵 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]