TY - GEN
T1 - Algorithm for Processing and Visualizing Multispectral Images Captured by Drones
AU - Auccahuasi, Wilver
AU - Meza, Sandra
AU - Sifuentes, Kety
AU - Mancco, Daysi
AU - Herrera, Lucas
AU - Ovalle, Christian
AU - Martinez, Hernando Martin Campos
AU - Rojas, Karin
AU - Inciso-Rojas, Miryam
AU - Auccahuasi, Aly
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Multispectral
KW - algorithm
KW - band algebra
KW - bands
KW - visualization
UR - http://www.scopus.com/inward/record.url?scp=85169041251&partnerID=8YFLogxK
U2 - 10.1109/ACM57404.2022.00011
DO - 10.1109/ACM57404.2022.00011
M3 - Contribución a la conferencia
AN - SCOPUS:85169041251
T3 - Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022
SP - 15
EP - 19
BT - Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022
Y2 - 29 August 2022 through 30 August 2022
ER -