无人机遥感图像数据可视化系统的设计与实现
Design and Realization of UAV Remote Sensing Image Data Visualization System

DOI: 10.12677/CSA.2021.118215, PP. 2096-2107

Keywords: 遥感图像，数据库，目标检测，可视化
Remote Sensing Image, Database, Object Detection, Visualization

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Abstract:

林业疫木防治工作中，三维地球平台上疫木侵染信息可视化使数据空间分布和关联更加清晰直观，有助于林业工作人员高效率地对病树及时防治。本文利用数据库技术、目标检测技术以及三维地球可视化技术处理无人机遥感图像为林业研究提供重要依据。首先，无人机拍摄林区图片以及视频，将图像数据按照拍摄地点、拍摄日期、拍摄角度、病虫类型等信息上传数据库。其次，以松材线虫和红脂大小蠹为试验对象，利用SSD目标检测算法检测出受害区域。最后，将检测结果图在三维地球上可视化。本文提出的基于无人机遥感图像数据的存储、检测以及可视化为林业发展创造价值。
In the prevention and control of forest diseased trees, the visualization of diseased trees infestation information on the three-dimensional earth platform makes the spatial distribution and correlation of data clearer and more intuitive, which helps forestry staff to efficiently prevent and control diseased trees in a timely manner. The database technology, object detection technology and three-dimensional earth visualization technology are used in this paper to process the UAV remote sensing images for providing an important basis for forestry research. Firstly, the forest area pictures and videos are taken by the UAV. The images are uploaded to the database according to the shooting location, shooting date, shooting angle, pest type and other information. Secondly, the pine wood nematode and red fat beetle are chosen as the experiment data in this paper, and the SSD object detection algorithm is used to realize the detection of the affected area. Finally, the detection results are visualized on the three-dimensional earth. The storage, detection and visualization of remote sensing image data based on the UAV proposed in this paper create value for forestry development.

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