A real-time SVM-based hardware accelerator for hyperspectral images classification in FPGA

Author:

Martins Lucas Amilton,Viel FelipeORCID,Seman Laio OrielORCID,Bezerra Eduardo Augusto,Zeferino Cesar Albenes

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina

Agência Espacial Brasileira

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference26 articles.

1. FPGA implementation of the N-FINDR algorithm for remotely sensed hyperspectral image analysis;González;IEEE Trans. Geosci. Remote Sens.,2011

2. Feature extraction of hyperspectral images with semi-supervised sparse graph learning;Luo,2018

3. A hardware accelerator for onboard spatial resolution enhancement of hyperspectral images;Viel;IEEE Geosci. Remote Sens. Lett.,2021

4. Deep recurrent neural networks for hyperspectral image classification;Mou;IEEE Trans. Geosci. Remote Sens.,2017

5. Hyperspectral image classification: An analysis employing CNN, LSTM, transformer, and attention mechanism;Viel;IEEE Access,2023

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