TY - GEN
T1 - Methodology for Visualization of Remote Sensing Information Based on Low-Cost Devices
AU - Auccahuasi, Wilver
AU - Linares, Oscar
AU - Urbano, Kitty
AU - Sobrino-Mesias, Julia
AU - Campos-Sobrino, Medalith
AU - Quispe-Pena, Humberto
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Emergency situations are occurring more frequently as a result of global warming. Most of the information that have is based on remote sensing, product of the different space missions, known as satellites, which provide satellite images, information of the meteorological behavior, among others. To be able to work with these tools, it is necessary to have a workstation with good computational characteristics, which allow to visualize and work with this information. Most of these workstations work based on a GPU programming architecture, which provides the computational power to handle certain programs that can work with the information. In the present work resort to the use of the embedded device Tegra TK1 of the NVIDIA brand, which allows us to work with the information coming from remote sensors, it is complemented with the coupling of a visualization system based on a Touch screen, which will allow a complete integration of the device, as well as a power supply system that allows portability, which can perform field work, as a result have as a recommendation a series of programs that handle this information and are compatible with the device thanks to the operating system Linux in the Ubuntu distribution, which allows its operation.
AB - Emergency situations are occurring more frequently as a result of global warming. Most of the information that have is based on remote sensing, product of the different space missions, known as satellites, which provide satellite images, information of the meteorological behavior, among others. To be able to work with these tools, it is necessary to have a workstation with good computational characteristics, which allow to visualize and work with this information. Most of these workstations work based on a GPU programming architecture, which provides the computational power to handle certain programs that can work with the information. In the present work resort to the use of the embedded device Tegra TK1 of the NVIDIA brand, which allows us to work with the information coming from remote sensors, it is complemented with the coupling of a visualization system based on a Touch screen, which will allow a complete integration of the device, as well as a power supply system that allows portability, which can perform field work, as a result have as a recommendation a series of programs that handle this information and are compatible with the device thanks to the operating system Linux in the Ubuntu distribution, which allows its operation.
KW - High Performance Computing. Remote sensing
KW - embedded equipment
KW - satellite imaging
KW - spatial data
UR - http://www.scopus.com/inward/record.url?scp=85190122496&partnerID=8YFLogxK
U2 - 10.1109/IDCIoT59759.2024.10467537
DO - 10.1109/IDCIoT59759.2024.10467537
M3 - Contribución a la conferencia
AN - SCOPUS:85190122496
T3 - 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024
SP - 1734
EP - 1738
BT - 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024
Y2 - 4 January 2024 through 6 January 2024
ER -