无人机影像误差分析和改善方法研究

Study on Image Error Analysis and Improvement Method of UAV

摘要: 近年来，遥感的发展趋势之一就是无人机遥感，无人机遥感技术已经成为提高测绘成果现势性的有力手段，是增强测绘应急保障能力的捷径。它能够获取大比例尺高分辨率影像，并具有影像时效性强、针对性强，执行任务灵活性高，运行成本低等优点，是获取遥感数据的重要途径。无人机影像成像过程中所产生的图像像元的几何位置相对于参照系统(地面实际位置或地形图)发生的挤压、伸展、偏移和扭曲等变形，使图像中地物的几何位置、尺寸、形状、方位等发生改变，图像的几何畸变可通过几何校正消除。本文详细阐述无人机影像误差成因分析、几何误差校正原理、数字影像重采样等研究内容。

Abstract: In recent years, one of the developing trends of remote sensing is unmanned aerial vehicle (UAV) remote sensing. Unmanned aerial vehicle (UAV) remote sensing technology has become a powerful means to improve the potential of Surveying and mapping results, and is a shortcut to enhance the ability of Surveying and mapping emergency support. It is an important way to obtain remote sensing data, and it can obtain large scale and high resolution images, and has the advantages of strong image timeliness, strong pertinence, high flexibility in executing tasks and low running cost. The geometric position, size, shape and azimuth of the image in the image can be changed by the geometric position of the image pixel, such as the extrusion, extension, offset and distortion that occur in the image pixel of the unmanned aerial vehicle (UAV). It’s getting rid of it. In this paper, the causes of UAV image errors, the principles of geometric error correction, and the resampling of dig-ital images are discussed in detail.