A High-Performance Infrastructure for Remote Sensing Data Applications Using HPC Paradigms-Reference-Cited by-同舟云学术

A High-Performance Infrastructure for Remote Sensing Data Applications Using HPC Paradigms

Published:2022-06-30 Issue:2 Volume:10 Page:394-398
ISSN:2347-470X
Container-title:International Journal of Electrical and Electronics Research
language:en
Short-container-title:IJEER

Author:

Chembian W. T.¹,Hemanand D.²,Roy A. Thomas Paul³,Franklin P. Deepak⁴,Kumari G. Krishna⁵,Kumar N. C. Sendhil⁶,Hemanth S. V.⁷,Soundari A. Gnana⁸

Affiliation:

1. Associate Professor, Department of Computer Science and Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College (Autonomous), Avadi – Vel Tech Road Vel Nagar Avadi, Chennai, Tamil Nadu, India

2. Professor, Department of Computer Science and Engineering, S.A. Engineering College (Autonomous), Thiruverkadu, Chennai, Tamil Nadu, India

3. Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Kothandaraman Nagar, Tamil Nadu, India

4. Assistant Professor, Department of Electrical and Electronics Engineering, Sriram Engineering College, Perumalpattu, Veppampattu (R.S.) Tiruvallur,Tamil Nadu, India

5. Professor, Department of Humanities and Science (Mathematics),Vardhaman College of Engineering, Ranga Reddy, Telangana

6. Professor, Department of Electronics and Communication Engineering, Sri Indu College of Engineering & Technology, Sheriguda, Hyderabad, Telangana, India

7. Assistant Professor, Department of Computer Science and Engineering, Hyderabad Institute of Technology and Management, Medchal-Malkajgiri, Hyderabad, Telangana, India

8. Professor, Department of Information Technology, Jeppiaar Engineering College, Chennai, Tamil Nadu, India

Abstract

Individuals and businesses are currently involved in the administration of remote sensing data that was previously handled only by government agencies. There is a lot more information in remote sensing data than go through the eye, and retrieving it is time-consuming and computationally expensive. Clusters, distributed networks, and specialized hardware devices are essential to speeding up remote sensing data extraction calculations. HPC advances in remote sensing applications are examined in this research. High-performance computing (HPC) concepts for instance FPGAs and GPUs as well as large-scale and heterogeneous computer networks are examined (GPUs). Using HPC paradigms, remote sensing applications are examined in these sections.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

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