Onboard Processing of Synthetic Aperture Radar Backprojection Algorithm in FPGA

Autor: David Mota, Helena Cruz, Pedro R. Miranda, Rui Policarpo Duarte, Jose T. de Sousa, Horacio C. Neto, Mario P. Vestias

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3600-3611 (2022)

Synthetic aperture radar is a microwave technique to extracting image information of the target. Electromagnetic waves that are reflected from the target are acquired by the aircraft or satellite receivers and sent to a ground station to be processed

Externí odkaz: https://doaj.org/article/a8e7d5a31ad840e58231d4be4c1237b6

A Review of Synthetic-Aperture Radar Image Formation Algorithms and Implementations: A Computational Perspective

Autor: Helena Cruz, Mário Véstias, José Monteiro, Horácio Neto, Rui Policarpo Duarte

Publikováno v: Remote Sensing, Vol 14, Iss 5, p 1258 (2022)

Designing synthetic-aperture radar image formation systems can be challenging due to the numerous options of algorithms and devices that can be used. There are many SAR image formation algorithms, such as backprojection, matched-filter, polar format,

Externí odkaz: https://doaj.org/article/cbaac95e037343eeb39397f1d85bf7c2

Moving Deep Learning to the Edge

Autor: Mário P. Véstias, Rui Policarpo Duarte, José T. de Sousa, Horácio C. Neto

Publikováno v: Algorithms, Vol 13, Iss 5, p 125 (2020)

Deep learning is now present in a wide range of services and applications, replacing and complementing other machine learning algorithms. Performing training and inference of deep neural networks using the cloud computing model is not viable for appl

Externí odkaz: https://doaj.org/article/1bed178e8c92486ab2efa4ef9781bbb3

A Configurable Architecture for Running Hybrid Convolutional Neural Networks in Low-Density FPGAs

Autor: Jose T. de Sousa, Mário P. Véstias, Horácio C. Neto, Rui Policarpo Duarte

Publikováno v: IEEE Access, Vol 8, Pp 107229-107243 (2020)
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Convolutional neural networks have become the state of the art of machine learning for a vast set of applications, especially for image classification and object detection. There are several advantages to running inference on these models at the edge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09468691ede06e56333e9babb31fd67b
https://ieeexplore.ieee.org/document/9110581/

kNN-STUFF: kNN STreaming Unit for Fpgas

Autor: Joao Vieira, Rui Policarpo Duarte, Horácio C. Neto

Publikováno v: IEEE Access, Vol 7, Pp 170864-170877 (2019)

This paper presents kNN STreaming Unit For Fpgas (kNN-STUFF), a modular, scalable and efficient Hardware/Software implementation of k-Nearest Neighbors (kNN) classifier targeting System on Chip (SoC) devices. It takes advantage of custom accelerators

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf7f4c6cfbf023021679435b6c378115
https://ieeexplore.ieee.org/document/8911384/