Publicación:
Algorithm for Processing and Visualizing Multispectral Images Captured by Drones

dc.contributor.authorWilver Auccahuasi
dc.contributor.authorSandra Meza
dc.contributor.authorKety Sifuentes
dc.contributor.authorDaysi Mancco
dc.contributor.authorLucas Herrera
dc.contributor.authorChristian Ovalle
dc.contributor.authorHernando Martin Campos Martínez
dc.contributor.authorKarin Rojas
dc.contributor.authorMiryam Inciso-Rojas
dc.contributor.authorAly Auccahuasi
dc.date.accessioned2024-09-20T20:15:30Z
dc.date.available2024-09-20T20:15:30Z
dc.date.issued2022-08-29
dc.description.abstractWith 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.
dc.identifier.doiDOI:10.1109/ACM57404.2022.00011
dc.identifier.urihttps://cris.esan.edu.pe/handle/20.500.12640/360
dc.relation.ispartof2022 Algorithms, Computing and Mathematics Conference (ACM)
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.titleAlgorithm for Processing and Visualizing Multispectral Images Captured by Drones
dc.typeproceedings-article
dspace.entity.typePublication

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