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     Research Journal of Applied Sciences, Engineering and Technology


Single and Multi-source Methods for Reconstruction the Gaps in Landsat 7 ETM+ SLC-off Images

1Ghazali Sulong, 1, 2Asmaa Sadiq and 3LoayEdwar
1UTM-IRDA Digital Media Center (MaGIC-X), Faculty of Computing, Universiti Taknologi Malaysia, 81310, UTM Skudai Johor Takzin, Malaysia
2Department of Computer, College of Science, University of Al-Mustansiriyah, Baghdad, Iraq
3Department of Computer, College of Science, University of Baghdad, Baghdad, Iraq
Research Journal of Applied Sciences, Engineering and Technology   2015  4:423-428
http://dx.doi.org/10.19026/rjaset.11.1797  |  © The Author(s) 2015
Received: April ‎14, ‎2015  |  Accepted: May ‎10, ‎2015  |  Published: October 05, 2015

Abstract

Since 2003, the Scan Line Corrector (SLC) instrument of the Enhanced Thematic Mapper plus (ETM+) sensor on board a Landsat 7 satellite has failed permanently causing regular gaps to appear in Landsat 7 images. This malfunction has been limited and hampered the scientific application of ETM+ data. Therefore, several methodologies and techniques have been conducted to reconstruct these gaps in order to expand the usability of the ETM+ SLC-off images. These methods can be classified as single source and multi-source methods. In this study two single source interpolation methods, mean and IDW are utilized to estimate the missing pixels value and the obtained results are compared with multi-source approach, LLHM. The results are assessed qualitatively and quantitatively using two statistical indicators RMSE and SE. The results indicated the superiority of LLHM on the single source interpolation methods.

Keywords:

Gap filling, IDW, interpolation method, Landsat 7 ETM+, reconstruction, SLC-off image,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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