High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]-Reference-Cited by-同舟云学术

High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]

Published:2022-06 Issue:2 Volume:10 Page:329-345
ISSN:2168-6831
Container-title:IEEE Geoscience and Remote Sensing Magazine
language:
Short-container-title:IEEE Geosci. Remote Sens. Mag.

Author:

Cavallaro Gabriele¹,Heras Dora B.²,Wu Zebin³,Maskey Manil⁴,Lopez Sebastian⁵,Gawron Piotr⁶,Coca Mihai⁷,Datcu Mihai⁸

Affiliation:

1. AI and ML for Remote Sensing Simulation and Data Lab at the Jülich Supercomputing Centre, Wilhelm-Johnen-Strasse, Juelich, Germany

2. Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Santiago de Compostela, Spain

3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

4. NASA, Marshall Space Flight Center, Huntsville, Alabama, USA

5. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

6. The Particle Astrophysics Science and Technology Centre (AstroCeNT) International Research Agenda, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Warszawa, Poland

7. Computer Science and Cyber Security Laboratory at Military Technical Academy “Ferdinand I”, Bucures¸ti, Romania

8. Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, University Politechnica Bucharest, Bucures¸ti, Romania

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6245518/9829005/09749615.pdf?arnumber=9749615

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1. High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data

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5. An Optimized Image Mosaic Algorithm with Parallel IO and Dynamic Grouped Parallel Strategy Based on Minimal Spanning Tree

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