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

Authors

  • 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

Keywords:

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

Abstract

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.

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International Journal of Scientific Research in Science and Technology

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Published

2018-01-30

Issue

Volume 4, Issue 3, January-February-2018

Section

Research Articles

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How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 3, pp.385-389, January-February-2018.