Software to compare images of the vegetation index obtained by satellite devices and unmanned aircraft

M. Kataev, Radioelectronics, M. Krylov, P. Geiko
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Abstract

At present, the practice of supporting many types of human activities requires the use of the spatial data infrastructure. Such an infrastructure integrates spatio-temporal sets from many sources of information within itself, providing the user with various types of processing, analysis and visualization methods. This article describes the architecture of the software system and the processes for managing sets of spatio-temporal data to solve agricultural problems. Measurement data using multispectral satellite systems, unmanned aerial vehicles (UAVs), as well as a priori information (meteorology, agrochemical information, etc.) are taken as input information. The User of the Software System is provided with the opportunity to control the spatial information of the territory of agricultural fields, sets of temporal data from various spatial data. An important achievement of the work is the combination of the results of satellite and UAV images according to the controlled parameters, that makes possible to expand the area of use of UAVs and verify them. The results of real data processing are presented.
比较卫星设备和无人驾驶飞机获得的植被指数图像的软件
目前,支持多种类型的人类活动的实践需要使用空间数据基础设施。这种基础设施集成了来自许多信息来源的时空集,为用户提供各种类型的处理、分析和可视化方法。本文描述了该软件系统的体系结构和管理时空数据集的过程,以解决农业问题。采用多光谱卫星系统、无人机测量数据以及先验信息(气象、农化信息等)作为输入信息。该软件系统为用户提供了控制农业领域的空间信息、各种空间数据的时间数据集的机会。该工作的一个重要成果是根据控制参数将卫星和无人机图像的结果结合起来,从而扩大了无人机的使用范围并对其进行了验证。给出了实际数据处理的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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