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Using Quality Database Convert the Quantity data into Quality data and Automate the Control Points using SURF Algorithm in Spatio-Temporal data

Sonia Rathee1 , Rahul Rishi2

  1. Dept. of Computer Science, Maharaja Surajmal Institute of Technology, Delhi, India.
  2. Dept. of Computer Science, U.I.E.T-M.D.University, Rohtak, India.

Correspondence should be addressed to: soniasinghpanghal@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-8 , Page no. 121-125, Aug-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i8.121125

Online published on Aug 30, 2017

Copyright © Sonia Rathee, Rahul Rishi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sonia Rathee, Rahul Rishi, “Using Quality Database Convert the Quantity data into Quality data and Automate the Control Points using SURF Algorithm in Spatio-Temporal data,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.8, pp.121-125, 2017.

MLA Style Citation: Sonia Rathee, Rahul Rishi "Using Quality Database Convert the Quantity data into Quality data and Automate the Control Points using SURF Algorithm in Spatio-Temporal data." International Journal of Computer Sciences and Engineering 5.8 (2017): 121-125.

APA Style Citation: Sonia Rathee, Rahul Rishi, (2017). Using Quality Database Convert the Quantity data into Quality data and Automate the Control Points using SURF Algorithm in Spatio-Temporal data. International Journal of Computer Sciences and Engineering, 5(8), 121-125.

BibTex Style Citation:
@article{Rathee_2017,
author = {Sonia Rathee, Rahul Rishi},
title = {Using Quality Database Convert the Quantity data into Quality data and Automate the Control Points using SURF Algorithm in Spatio-Temporal data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2017},
volume = {5},
Issue = {8},
month = {8},
year = {2017},
issn = {2347-2693},
pages = {121-125},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1399},
doi = {https://doi.org/10.26438/ijcse/v5i8.121125}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i8.121125}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1399
TI - Using Quality Database Convert the Quantity data into Quality data and Automate the Control Points using SURF Algorithm in Spatio-Temporal data
T2 - International Journal of Computer Sciences and Engineering
AU - Sonia Rathee, Rahul Rishi
PY - 2017
DA - 2017/08/30
PB - IJCSE, Indore, INDIA
SP - 121-125
IS - 8
VL - 5
SN - 2347-2693
ER -

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Abstract

GIS data can be divided into two formats, raster and vector. Raster format can represent the values which give quantitative information such as temperature, vegetation intensity, land use/cover etc. Vector format can represent the value which give qualitative data which consists of point, lines and polygons and these representing the location, distance or area of landscape features in graphical forms. For extracting the data we can register the image for the initial processing. For register the image we can select the control points. This control point selection can convert the quantity data into quality data. This process of transforming information (quantity) into knowledge (quality) is called appropriation. To overcome the limitations of relational databases and provide a greater knowledge in terms of knowledge we use the spatio-temporal database.

Key-Words / Index Term

Database , Quality database, Rotation,Scaling, SURF-Algorithm , Spatio-temporal model , Translation

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