基于图像和高程数据的天际线定位匹配
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(中南大学自动化学院,长沙410083)

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E-mail: tjin@csu.edu.cn.

中图分类号:

TP391

基金项目:

国家自然科学基金项目(61502537,61573380);湖南省自然科学基金项目(2018JJ3681,2016JJ2150).


Skyline position matching based on image and elevation data
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(School of Automation,Central South University,Changsha410083,China)

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    摘要:

    基于图像和高程数据可以实现在不依赖GPS的情况下准确定位,在很多场景中都具有较高的实用价值.定位过程主要分为图像天际线检测、高程数据天际线检测、天际线特征提取和天际线匹配.但由于受自然环境变化和高程数据精度影响,定位匹配充满困难和挑战.针对这些问题,提出一种基于滑动窗口的金字塔模糊斜率特征,该特征主要由平均高度特征、多层斜率特征和段特征组成.在不同精度高程数据上的测试结果表明:该特征可以缓解一定范围内高程数据噪声和畸变带来的不利影响,准确区分目标高程数据天际线和非目标高程数据天际线,具有良好的准确性和稳定性.

    Abstract:

    Based on image and elevation data, accurate positioning can be achieved without relying on GPS, which has high practical value in many scenarios. The position process includes image skyline detection, elevation data skyline detection, skyline feature extraction and skyline matching. However, due to the influence of natural environment and the accuracy of elevation data, position matching has many difficulties and challenges. To solve these problems, this paper proposes a pyramid fuzzy slope feature based on sliding window, which consists of average height feature, multi-layer slope feature and segment feature. Experimental results on different precision elevation data show that this feature can mitigate the adverse effects caused by noise and distortion of elevation data in a certain range, accurately distinguish the target elevation data skyline from the non-target elevation data skyline, and has good accuracy and stability as well.

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引用本文

郭璠,周聪,唐琎,等.基于图像和高程数据的天际线定位匹配[J].控制与决策,2020,35(11):2665-2674

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  • 在线发布日期: 2020-10-15
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