Open AccessInterpolation Of Data Gaps Of SLC-Off Landsat ETM+ Images Using Algorithm Based On The Differential Operators
Author(s) -
Raghvendra Singh,
P. Rama Chandra Prasad
Publication year - 2014
Publication title -
journal of applied computer science methods
Language(s) - English
Resource type - Journals
eISSN - 2391-8241
pISSN - 1689-9636
DOI - 10.1515/jacsm-2015-0001
Subject(s) - thematic mapper , interpolation (computer graphics) , pixel , computer science , remote sensing , anomaly (physics) , algorithm , image (mathematics) , artificial intelligence , geology , satellite imagery , physics , condensed matter physics
The scan-line corrector (SLC) of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor failed in May 2003, and this abnormal functioning of SLC resulted in about 22% of the pixels per scene without being scanned. By filling the un-scanned gap by a good technique will help in more use of ETM+ data for many scientific applications. While there have been a number of approaches developed to fill in the data gaps in ETM+ imagery, each method has shortcomings, especially they require SLC-on (images acquired before SLC-off anomaly) imagery for the same location to fill the gaps in SLC-off (images acquired after SLC anomaly) image. To overcome such shortcomings this study proposes an alternative interpolation method based on the partial derivative. This case study shows that this technique is very much useful to interpolate the missing pixel values in the SLC-off ETM+ data.