无人机近红外传感器数据匹配方法

发布时间：2018-05-30 20:10

本文选题：SIFT匹配 + 无人机　；参考：《国土资源遥感》2017年01期

【摘要】：随着无人机低空遥感技术的不断发展,其已成为一种重要的遥感技术手段。无人机传感器也从普通可见光向多/高光谱传感器发展,但鉴于无人机载荷小对传感器的限制,这些新型传感器数据质量较差,现有方法难以直接处理。因此,以无人机近红外传感器所获取数据为研究对象,基于尺度不变特征转换(scale-invariant feature transform,SIFT)匹配方法进行参数优化和粗差剔除,以解决无人机多/高光谱数据后期成图应用的关键技术,并对该方法进行实验验证。实验结果表明,通过该方法能够获取稳健的匹配结果,对提高无人机多/高光谱等新型传感器的应用效果具有重要价值。
[Abstract]:With the continuous development of unmanned aerial vehicle (UAV) low altitude remote sensing technology, it has become an important means of remote sensing technology. UAV sensors are also developed from common visible light to multispectral sensors. However, due to the limitation of UAV payload on sensors, the data quality of these new sensors is poor, and the existing methods are difficult to deal with them directly. Therefore, taking the data obtained by UAV near infrared sensor as the research object, the parameter optimization and gross error elimination are carried out based on scale-invariant feature transform sift matching method. In order to solve the key technology of UAV multi-spectral data post-mapping application, and the experimental verification of the method. The experimental results show that the robust matching results can be obtained by this method, and it is of great value to improve the application effect of new sensors such as UAV multi-spectrum / hyperspectral sensors.
【作者单位】：中国地质大学(北京);中国国土资源航空物探遥感中心;长江空间信息技术工程有限公司(武汉);北京航空航天大学自动化科学与电气工程学院;
【基金】：中国国土资源航空物探遥感中心对地观测技术工程实验室航遥青年创新基金项目“基于红外光学传感器的低空遥感应急监测方法研究”(编号:2013YFL09) 中国地质调查局地质调查项目“地质灾害低空遥感应急监测方法技术研究”(编号:1212011120219)共同资助
【分类号】：TP79

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