收稿日期: 2017-01-04
修回日期: 2017-03-20
网络出版日期: 2017-03-20
基金资助
国家自然科学基金（61603364）；西安市科技计划项目（CXY1436（9），CXY1350（2））.
A robust scene matching method for mountainous regions with illumination variation
Received date: 2017-01-04
Revised date: 2017-03-20
Online published: 2017-03-20
Supported by
National Natural Science Foundation of China (61603364);Xi'an Science and Technology Project (CXY1436(9),CXY1350(2))
提出了一种面向山地区域光照变化下的鲁棒景象匹配导航方法。该方法针对山区景象匹配导航中光照环境不同造成的基准图与实时图像不一致问题，采取在高程数据上使用光照模型生成光照明暗图，利用数字高程图（DEM）得到水流汇集数据并生成山谷显著图，将光照明暗图与山谷显著图融合作为基准图；针对基准图与实时图中细节边缘的差异带来的误匹配问题，提出了基于形态学约束的Hausdorff距离边缘匹配算法。采用LANDSAT图像与ASTERDEM高程数据进行实验分析，结果表明提出的方法匹配正确率高且鲁棒性好。
关键词： 景象匹配导航; 光照模型; 显著边缘; Hausdorff距离; 图像融合
王华夏 , 程咏梅 , 刘楠 . 面向山地区域光照变化下的鲁棒景象匹配方法[J]. 航空学报, 2017 , 38(10) : 321101 -321101 . DOI: 10.7527/S1000-6893.2017.321101
This paper presents a robust scene matching navigation method for mountainous regions with illumination variation.In order to solve the problem of the inconsistency between the reference map and the real map caused by different lighting conditions in mountainous areas,the reference image is obtained by fusing the hillshade map,generated from elevation data using illumination model,and the valley saliency map,generated from water flow data collected by Digital Elevation Model (DEM).To avoid the mismatch caused by the difference of edge between the reference and the real maps,a Hausdorff distance edge matching algorithm based on morphological constraints is proposed.The experimental results of LANDSAT image and ASTERDEM data show that the proposed method has high accuracy and good robustness.
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