微型无人飞机遥感影像后期处理技术方法研究

微型无人飞机遥感对于影像的采集具有低成本、高精度、快速度的特点,但是获取的数码图像畸变很大不能直接使用。以吐鲁番市葡萄沟景区、和布克赛尔县景区和克拉玛依市化学工业园区的航拍影像为研究对象,对造成误差的各种因素进行分析,归纳总结出引起影像几何变形的因素主要可以分为有规律的系统性因素和无规律的非系统性因素,并针对这些因素提出畸变纠正和"二级校正"的思路和方法。通过实际应用,表明这种影像的后期处理方法和流程是有效可行的,可为资源调查和灾害应急调查提供有力的技术方法和数据支撑。

The Technical Research of Image Process for Miniature Unmanned Aircraft Remote Sensing

The miniature unmanned aircraft remote sensing has the characteristics of low cost,high accuracy and quick speed for image gathering.But the images cannot be used directly because the geometry distortion.Based on image analyze on Tulufan Vineyard,the Scenic Region of Hebukesaier County and Kelamayi Chemical Industry Park as the investigated objects,we have summarized the factors which cause geometry distorts mainly to be possible to divide into the orderly systematic factor and the disorder non-systematic factor,and proposed the distortion correction method and the "dual geography check"method.The practical application indicated that these kinds of processing method are effective and feasible,and may provide the powerful data support for the resources investigation and the disaster emergency investigation.