Publication (Conferences and Seminars)

An Embedded GPU Accelerated Hyperspectral Video Classification System in Real-Time

Sancho Aragón, Jaime; Villa Romero, Manuel; Urbanos García, Gemma; Villanueva, Marta; Sutradhar, Pallab; Rosa Olmeda, Gonzalo; Martín Pérez, Alberto; Vázquez Valle, Guillermo; Chavarrías Lapastora, Miguel; Juárez Martínez, Eduardo; Sanz Álvaro, César; Salvador, Rubén

Abstract:

Uyperspectral imaging (HSI) has been adopted during the last years in different applications where material classification plays an important role. This favoured the improvement and development of new HS sensors, leading to HS snapshot cameras, where the sensor is able to acquire images in a realtime video fashion, reducing the spatial and spectral resolution for these cameras. However, although these cameras are able to acquire RAW HS images at high frames per second (FPS) rates, it is necessary to pre-process them to obtain an actual HS image and then obtain a classification map. This work addresses the development of an embedded CPU+GPU HS video classification system able to acquire and classify HS images in real-time video, i.e., at more than 25 FPS. Also, it includes a comparison where three different CPU+GPU embedded platforms are tested: NVIDIA Jetson Nano, NVIDIA Jetson TX1 and NVIDIA Jetson TX2. The results obtained show the feasibility of a HS video classification system using these embedded platforms

Research areas:

• Image and Video Technologies

Year:

2022

Type of Publication:

Conferences and Seminars

Editor:

IEEE

Organization:

2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS)

Month:

Enero

Comments:

Conferencia celebrada en Vila do Conde, Portugal 24-26 Nov. 2021

DOI:

10.1109/DCIS53048.2021.9666171