ETM+ is a land-imaging sensor with great and wide use in many fields, however, after May 2003, because of a technical defect in the sensor´s system scan line corrector SLC, it started giving images of earth containing black gap lines at a 22% rate. These gaps made the process of analyzing and extracting accurate information from these images difficult and complicated. Therefore, scientists have developed many techniques to remove the gap lines from all ETM+ band-images and complete the missing data. In this study, three different ETM+ time images with a 16-day interval between them were used to fill gap lines, complementing the images, and minimize the effect of the gaps. However, the adopted temporal filtration method was not able to completely remove the gaps. An added algorithm is used, which is based on using one of three filters (mean, median, and max.) to work on a vertical linear window whose center is on the points of the gap lines in the images. The quality of the resulting images was evaluated using the Jaccard metric standard to find the degree of similarity between the original images and the images that resulted from the implementation of the algorithm, the results showed good quality images, and the gaps were completely removed from the resulting images. A higher degree of similarity was obtained from implementing the (mean and median), ranging between 0.6568 and 0.9007, compared with the (max), where the similarity ranged between 0.6246 and 0.8820. This study aims to fill the images gaps using the temporal filtering technique.
Abbas, Heba Kh.; Salman, Salema S.; Awad Abtan, Rash; Al-Saleh, Anwar H.; and Al-Zuky, Ali A.
"Adaptive reconstruction of the heterogeneous scan line ETM+ correction technique,"
Karbala International Journal of Modern Science: Vol. 7
, Article 6.
Available at: https://doi.org/10.33640/2405-609X.3121
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