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Review of Change Detection Techniques for Remotely Sensed Images

A. Sharma1 , T. Gulati2

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-1 , Page no. 22-25, Jan-2017

Online published on Jan 31, 2017

Copyright © A. Sharma, T. Gulati . 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: A. Sharma, T. Gulati, “Review of Change Detection Techniques for Remotely Sensed Images,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.1, pp.22-25, 2017.

MLA Style Citation: A. Sharma, T. Gulati "Review of Change Detection Techniques for Remotely Sensed Images." International Journal of Computer Sciences and Engineering 5.1 (2017): 22-25.

APA Style Citation: A. Sharma, T. Gulati, (2017). Review of Change Detection Techniques for Remotely Sensed Images. International Journal of Computer Sciences and Engineering, 5(1), 22-25.

BibTex Style Citation:
@article{Sharma_2017,
author = {A. Sharma, T. Gulati},
title = {Review of Change Detection Techniques for Remotely Sensed Images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2017},
volume = {5},
Issue = {1},
month = {1},
year = {2017},
issn = {2347-2693},
pages = {22-25},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1149},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1149
TI - Review of Change Detection Techniques for Remotely Sensed Images
T2 - International Journal of Computer Sciences and Engineering
AU - A. Sharma, T. Gulati
PY - 2017
DA - 2017/01/31
PB - IJCSE, Indore, INDIA
SP - 22-25
IS - 1
VL - 5
SN - 2347-2693
ER -

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Abstract

The use of remotely sensed image has been a wide area in research. Different images of the same scene captured by the satellites at different times can provide information about the significant changes that held on earth with time. Many techniques for change detection has been developed while new techniques are also emerging. This paper gives a review of pixel based and transformation based techniques used for change detection. The paper begins with the discussion on pixel based techniques like image differencing, Image Ratioing and Image regression. Then, transformation based techniques like principal component analysis and change vector analysis has been discussed in detail. The paper has been concluded with the comparison of the discussed techniques based on advantages, limitations and applications.

Key-Words / Index Term

Change Detection; Principal Component Analysis; Image Ratioing; Image Differencing

References

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