Review Paper on Unsupervised Change Detection Algorithm from VHR Satellite Images using Soft Computing Technique

Authors(5) :-Asst Prof. Rahil Khan, Abu Huzaifa, Ziya Sheikh, Sugat Deve, Sameena Afroz

The change detection algorithms, based on remotely sensed satellite imagery, can be applied to various applications, such as the hazard/disaster analysis and the land monitoring. However, unchanged areas sometimes detected as the changed areas due to various errors in relief displacements and noise pixels, included in the original multi-temporal dataset at the application of unsupervised change detection algorithm To determine the areas that have and donÂ’t have changes, the image is grouped as two parts by Fuzzy C-Means Clustering method. For achieving these processes, firstly the process of image to image registration is completed. As a result of this, the images are being referred to each other. After that, gray scale difference image obtained is partitioned into 3x3 non overlapping blocks. With the method of principal component analysis, eigenvector space is gained and from here, principal components are reached. Finally, feature vector space consisting principal component is partitioned into two clusters using Fuzzy C-Means Clustering and after that change detection process has been done.

Authors and Affiliations

Asst Prof. Rahil Khan
Asst Prof.,Electronics and Telecommunication Department,RTMNU/Anjuman College of Engineering,Tech, Nagpur, Maharashtra, India
Abu Huzaifa
Student, Electronics and Telecommunication Department,RTMNU/Anjuman College of Engineering,Tech, Nagpur, Maharashtra, India
Ziya Sheikh
Student, Electronics and Telecommunication Department,RTMNU/Anjuman College of Engineering,Tech, Nagpur, Maharashtra, India
Sugat Deve
Student, Electronics and Telecommunication Department,RTMNU/Anjuman College of Engineering,Tech, Nagpur, Maharashtra, India
Sameena Afroz
Student, Electronics and Telecommunication Department,RTMNU/Anjuman College of Engineering,Tech, Nagpur, Maharashtra, India

Remote sensing, Change detection, Multi-temporal images, K-means clustering, Fuzzy c-means clustering, VHR Image.

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Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 385-389
Manuscript Number : NCAEAS4379
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Asst Prof. Rahil Khan, Abu Huzaifa, Ziya Sheikh, Sugat Deve, Sameena Afroz, " Review Paper on Unsupervised Change Detection Algorithm from VHR Satellite Images using Soft Computing Technique, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 3, pp.385-389, January-February-2018. Available at doi : 10.32628/NCAEAS4379
Journal URL : http://ijsrst.com/NCAEAS4379

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