无人机捕获的多光谱图像处理与可视化算法

W. Auccahuasi, Sandra Meza, Kety Sifuentes, Daysi Mancco, Lucas Herrera, C. Ovalle, Hernando Martín Campos Martinez, K. Rojas, Miryam Inciso-Rojas, Aly Auccahuasi
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引用次数: 0

摘要

随着信息和通信技术的发展,已经有可能集成先进的硬件解决方案,展示嵌入式系统,能够在各个领域展示解决方案,其中之一与低成本多光谱相机的展示有关,它集成了几个工作波段,这些可以放置在无人机上,可以捕捉几个波段的图像。在本文中,我们对6波段相机拍摄的图像进行了一种算法分析,该算法对多光谱图像进行了分析,确定了波段的数量,划分为各个波段,并进行了波段代数运算,结果表明,可以对多光谱图像进行分析和处理,根据不同的用途,所提出的算法可以用于不同波段数量和不同分辨率的图像。该算法是利用MATLAB工具实现的,在实现的所有过程中。
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Algorithm for Processing and Visualizing Multispectral Images Captured by Drones
With the development of information and communication technologies, it has been possible to integrate advanced hardware solutions, presenting embedded systems, capable of presenting solutions in various areas, one of them is related to the presentation of low cost multispectral cameras, which have integrated several working bands, these can be placed in drones, which allows to capture images in several bands. In this work we performed an algorithm to analyze an image captured with a 6-band camera, which performs an analysis to determine the number of bands, the separation into individual bands and the operation of band algebra, the results show that you can analyze and process multispectral images, making various operations, depending on the use, the algorithm presented can be used with images that have different numbers of bands as well as different resolutions. The algorithm was implemented using the MATLAB tool, in the realization of all the processes.
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Copyright Page Algorithm for Processing and Visualizing Multispectral Images Captured by Drones A Survey Paper on the Latest Techniques for Sarcasm Detection Using BG Method Graph Theory Matrix Approach in Cryptography and Network Security Dynamic Timetable and Route Optimized Public Transport System
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