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Evolution of Remote Sensing and Graphical Information System Using CPU-GPU Platform

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Evolution of Remote Sensing and Graphical Information System Using CPU-GPU Platform


Suman Goyat | Dr A K Sahoo


Suman Goyat | Dr A K Sahoo "Evolution of Remote Sensing and Graphical Information System Using CPU-GPU Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.1560-1567, URL: https://www.ijtsrd.com/papers/ijtsrd18731.pdf

The Earth's land use, land cover, land forms, spatial and geographical characteristics are crucial variables in global change. The impact of human activities on the earth has resulted greatly to climate change calls for a comparative study and mapping of the land in order to assess the condition of the land in the past comparing with the current state of the land in order to regulate the anthropogenic factors for sustainable development. Remote Sensing and Geographic Information Services allow the engineer to continuously monitor any change any intended plans to secure their success or rectification to meet the requirements. GIS technology has a major impact on the safety and quality of our daily lives. City planners and businesses use GIS applications to combine physical mapping information with demographic data such as population, street layout and local resources. As users push the boundaries of GIS applications, datasets are growing increasingly complex, often involving many gigabytes of interactive maps showing vectors, surface layers and images. As the amount of data and the complexity of the processing rise, the demand for processing power in GIS applications is increasing. The processing speed is a critical aspect to enable a productive interaction between the human operator and the machine in order to achieve ever more complex tasks satisfactorily. Graphic processing units (GPU) are good candidates to speed up some tasks. With the recent developments, programming these devices became very simple. In this paper, we introduce the method how complexity of RS and GIS can be reduced by implementing parallel architecture of GPU.

GPU (Graphics Processing Unit), HPC (High-Performance Computing), NDVI (Normalized Difference Vegetation Index), GPS (Global Positioning System), GIS (Geographical Information System), RS (Remote System), CUDA (Compute Unified Device Architecture),


IJTSRD18731
Volume-2 | Issue-6, October 2018
1560-1567
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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